Undocument x-wait-for-model and x-use-cache headers

docs/inference-providers/tasks/audio-classification.md

@@ -46,6 +46,11 @@ No snippet available for this task.
 
 #### Request
 
+| Headers |   |    |
+| :--- | :--- | :--- |
+| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with "Inference Providers" permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens/new?ownUserPermissions=inference.serverless.write&tokenType=fineGrained). |
+
+
 | Payload |  |  |
 | :--- | :--- | :--- |
 | **inputs*** | _string_ | The input audio data as a base64-encoded string. If no `parameters` are provided, you can also provide the audio data as a raw bytes payload. |
@@ -54,16 +59,6 @@ No snippet available for this task.
 | **        top_k** | _integer_ | When specified, limits the output to the top K most probable classes. |
 
 
-Some options can be configured by passing headers to the Inference API. Here are the available headers:
-
-| Headers |   |    |
-| :--- | :--- | :--- |
-| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with Inference API permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens). |
-| **x-use-cache** | _boolean, default to `true`_ | There is a cache layer on the inference API to speed up requests we have already seen. Most models can use those results as they are deterministic (meaning the outputs will be the same anyway). However, if you use a nondeterministic model, you can set this parameter to prevent the caching mechanism from being used, resulting in a real new query. Read more about caching [here](../parameters#caching]). |
-| **x-wait-for-model** | _boolean, default to `false`_ | If the model is not ready, wait for it instead of receiving 503. It limits the number of requests required to get your inference done. It is advised to only set this flag to true after receiving a 503 error, as it will limit hanging in your application to known places. Read more about model availability [here](../overview#eligibility]). |
-
-For more information about Inference API headers, check out the parameters [guide](../parameters).
-
 #### Response
 
 | Body |  |

docs/inference-providers/tasks/automatic-speech-recognition.md

@@ -48,6 +48,11 @@ Explore all available models and find the one that suits you best [here](https:/
 
 #### Request
 
+| Headers |   |    |
+| :--- | :--- | :--- |
+| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with "Inference Providers" permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens/new?ownUserPermissions=inference.serverless.write&tokenType=fineGrained). |
+
+
 | Payload |  |  |
 | :--- | :--- | :--- |
 | **inputs*** | _string_ | The input audio data as a base64-encoded string. If no `parameters` are provided, you can also provide the audio data as a raw bytes payload. |
@@ -72,16 +77,6 @@ Explore all available models and find the one that suits you best [here](https:/
 | **                use_cache** | _boolean_ | Whether the model should use the past last key/values attentions to speed up decoding |
 
 
-Some options can be configured by passing headers to the Inference API. Here are the available headers:
-
-| Headers |   |    |
-| :--- | :--- | :--- |
-| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with Inference API permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens). |
-| **x-use-cache** | _boolean, default to `true`_ | There is a cache layer on the inference API to speed up requests we have already seen. Most models can use those results as they are deterministic (meaning the outputs will be the same anyway). However, if you use a nondeterministic model, you can set this parameter to prevent the caching mechanism from being used, resulting in a real new query. Read more about caching [here](../parameters#caching]). |
-| **x-wait-for-model** | _boolean, default to `false`_ | If the model is not ready, wait for it instead of receiving 503. It limits the number of requests required to get your inference done. It is advised to only set this flag to true after receiving a 503 error, as it will limit hanging in your application to known places. Read more about model availability [here](../overview#eligibility]). |
-
-For more information about Inference API headers, check out the parameters [guide](../parameters).
-
 #### Response
 
 | Body |  |

docs/inference-providers/tasks/chat-completion.md

@@ -79,6 +79,11 @@ conversational />
 
 #### Request
 
+| Headers |   |    |
+| :--- | :--- | :--- |
+| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with "Inference Providers" permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens/new?ownUserPermissions=inference.serverless.write&tokenType=fineGrained). |
+
+
 | Payload |  |  |
 | :--- | :--- | :--- |
 | **frequency_penalty** | _number_ | Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. |
@@ -140,16 +145,6 @@ conversational />
 | **top_p** | _number_ | An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. |
 
 
-Some options can be configured by passing headers to the Inference API. Here are the available headers:
-
-| Headers |   |    |
-| :--- | :--- | :--- |
-| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with Inference API permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens). |
-| **x-use-cache** | _boolean, default to `true`_ | There is a cache layer on the inference API to speed up requests we have already seen. Most models can use those results as they are deterministic (meaning the outputs will be the same anyway). However, if you use a nondeterministic model, you can set this parameter to prevent the caching mechanism from being used, resulting in a real new query. Read more about caching [here](../parameters#caching]). |
-| **x-wait-for-model** | _boolean, default to `false`_ | If the model is not ready, wait for it instead of receiving 503. It limits the number of requests required to get your inference done. It is advised to only set this flag to true after receiving a 503 error, as it will limit hanging in your application to known places. Read more about model availability [here](../overview#eligibility]). |
-
-For more information about Inference API headers, check out the parameters [guide](../parameters).
-
 #### Response
 
 Output type depends on the `stream` input parameter.

docs/inference-providers/tasks/feature-extraction.md

@@ -47,6 +47,11 @@ Explore all available models and find the one that suits you best [here](https:/
 
 #### Request
 
+| Headers |   |    |
+| :--- | :--- | :--- |
+| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with "Inference Providers" permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens/new?ownUserPermissions=inference.serverless.write&tokenType=fineGrained). |
+
+
 | Payload |  |  |
 | :--- | :--- | :--- |
 | **inputs*** | _unknown_ | One of the following: |
@@ -58,16 +63,6 @@ Explore all available models and find the one that suits you best [here](https:/
 | **truncation_direction** | _enum_ | Possible values: Left, Right. |
 
 
-Some options can be configured by passing headers to the Inference API. Here are the available headers:
-
-| Headers |   |    |
-| :--- | :--- | :--- |
-| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with Inference API permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens). |
-| **x-use-cache** | _boolean, default to `true`_ | There is a cache layer on the inference API to speed up requests we have already seen. Most models can use those results as they are deterministic (meaning the outputs will be the same anyway). However, if you use a nondeterministic model, you can set this parameter to prevent the caching mechanism from being used, resulting in a real new query. Read more about caching [here](../parameters#caching]). |
-| **x-wait-for-model** | _boolean, default to `false`_ | If the model is not ready, wait for it instead of receiving 503. It limits the number of requests required to get your inference done. It is advised to only set this flag to true after receiving a 503 error, as it will limit hanging in your application to known places. Read more about model availability [here](../overview#eligibility]). |
-
-For more information about Inference API headers, check out the parameters [guide](../parameters).
-
 #### Response
 
 | Body |  |

docs/inference-providers/tasks/fill-mask.md

@@ -39,6 +39,11 @@ No snippet available for this task.
 
 #### Request
 
+| Headers |   |    |
+| :--- | :--- | :--- |
+| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with "Inference Providers" permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens/new?ownUserPermissions=inference.serverless.write&tokenType=fineGrained). |
+
+
 | Payload |  |  |
 | :--- | :--- | :--- |
 | **inputs*** | _string_ | The text with masked tokens |
@@ -47,16 +52,6 @@ No snippet available for this task.
 | **        targets** | _string[]_ | When passed, the model will limit the scores to the passed targets instead of looking up in the whole vocabulary. If the provided targets are not in the model vocab, they will be tokenized and the first resulting token will be used (with a warning, and that might be slower). |
 
 
-Some options can be configured by passing headers to the Inference API. Here are the available headers:
-
-| Headers |   |    |
-| :--- | :--- | :--- |
-| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with Inference API permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens). |
-| **x-use-cache** | _boolean, default to `true`_ | There is a cache layer on the inference API to speed up requests we have already seen. Most models can use those results as they are deterministic (meaning the outputs will be the same anyway). However, if you use a nondeterministic model, you can set this parameter to prevent the caching mechanism from being used, resulting in a real new query. Read more about caching [here](../parameters#caching]). |
-| **x-wait-for-model** | _boolean, default to `false`_ | If the model is not ready, wait for it instead of receiving 503. It limits the number of requests required to get your inference done. It is advised to only set this flag to true after receiving a 503 error, as it will limit hanging in your application to known places. Read more about model availability [here](../overview#eligibility]). |
-
-For more information about Inference API headers, check out the parameters [guide](../parameters).
-
 #### Response
 
 | Body |  |

docs/inference-providers/tasks/image-classification.md

@@ -44,6 +44,11 @@ Explore all available models and find the one that suits you best [here](https:/
 
 #### Request
 
+| Headers |   |    |
+| :--- | :--- | :--- |
+| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with "Inference Providers" permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens/new?ownUserPermissions=inference.serverless.write&tokenType=fineGrained). |
+
+
 | Payload |  |  |
 | :--- | :--- | :--- |
 | **inputs*** | _string_ | The input image data as a base64-encoded string. If no `parameters` are provided, you can also provide the image data as a raw bytes payload. |
@@ -52,16 +57,6 @@ Explore all available models and find the one that suits you best [here](https:/
 | **        top_k** | _integer_ | When specified, limits the output to the top K most probable classes. |
 
 
-Some options can be configured by passing headers to the Inference API. Here are the available headers:
-
-| Headers |   |    |
-| :--- | :--- | :--- |
-| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with Inference API permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens). |
-| **x-use-cache** | _boolean, default to `true`_ | There is a cache layer on the inference API to speed up requests we have already seen. Most models can use those results as they are deterministic (meaning the outputs will be the same anyway). However, if you use a nondeterministic model, you can set this parameter to prevent the caching mechanism from being used, resulting in a real new query. Read more about caching [here](../parameters#caching]). |
-| **x-wait-for-model** | _boolean, default to `false`_ | If the model is not ready, wait for it instead of receiving 503. It limits the number of requests required to get your inference done. It is advised to only set this flag to true after receiving a 503 error, as it will limit hanging in your application to known places. Read more about model availability [here](../overview#eligibility]). |
-
-For more information about Inference API headers, check out the parameters [guide](../parameters).
-
 #### Response
 
 | Body |  |

docs/inference-providers/tasks/image-segmentation.md

@@ -43,6 +43,11 @@ Explore all available models and find the one that suits you best [here](https:/
 
 #### Request
 
+| Headers |   |    |
+| :--- | :--- | :--- |
+| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with "Inference Providers" permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens/new?ownUserPermissions=inference.serverless.write&tokenType=fineGrained). |
+
+
 | Payload |  |  |
 | :--- | :--- | :--- |
 | **inputs*** | _string_ | The input image data as a base64-encoded string. If no `parameters` are provided, you can also provide the image data as a raw bytes payload. |
@@ -53,16 +58,6 @@ Explore all available models and find the one that suits you best [here](https:/
 | **        threshold** | _number_ | Probability threshold to filter out predicted masks. |
 
 
-Some options can be configured by passing headers to the Inference API. Here are the available headers:
-
-| Headers |   |    |
-| :--- | :--- | :--- |
-| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with Inference API permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens). |
-| **x-use-cache** | _boolean, default to `true`_ | There is a cache layer on the inference API to speed up requests we have already seen. Most models can use those results as they are deterministic (meaning the outputs will be the same anyway). However, if you use a nondeterministic model, you can set this parameter to prevent the caching mechanism from being used, resulting in a real new query. Read more about caching [here](../parameters#caching]). |
-| **x-wait-for-model** | _boolean, default to `false`_ | If the model is not ready, wait for it instead of receiving 503. It limits the number of requests required to get your inference done. It is advised to only set this flag to true after receiving a 503 error, as it will limit hanging in your application to known places. Read more about model availability [here](../overview#eligibility]). |
-
-For more information about Inference API headers, check out the parameters [guide](../parameters).
-
 #### Response
 
 | Body |  |

docs/inference-providers/tasks/image-to-image.md

@@ -46,6 +46,11 @@ Explore all available models and find the one that suits you best [here](https:/
 
 #### Request
 
+| Headers |   |    |
+| :--- | :--- | :--- |
+| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with "Inference Providers" permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens/new?ownUserPermissions=inference.serverless.write&tokenType=fineGrained). |
+
+
 | Payload |  |  |
 | :--- | :--- | :--- |
 | **inputs*** | _string_ | The input image data as a base64-encoded string. If no `parameters` are provided, you can also provide the image data as a raw bytes payload. |
@@ -59,16 +64,6 @@ Explore all available models and find the one that suits you best [here](https:/
 | **                height*** | _integer_ |  |
 
 
-Some options can be configured by passing headers to the Inference API. Here are the available headers:
-
-| Headers |   |    |
-| :--- | :--- | :--- |
-| **authorization** | _string_ | Authentication header in the form `'Bearer: hf_****'` when `hf_****` is a personal user access token with Inference API permission. You can generate one from [your settings page](https://huggingface.co/settings/tokens). |
-| **x-use-cache** | _boolean, default to `true`_ | There is a cache layer on the inference API to speed up requests we have already seen. Most models can use those results as they are deterministic (meaning the outputs will be the same anyway). However, if you use a nondeterministic model, you can set this parameter to prevent the caching mechanism from being used, resulting in a real new query. Read more about caching [here](../parameters#caching]). |
-| **x-wait-for-model** | _boolean, default to `false`_ | If the model is not ready, wait for it instead of receiving 503. It limits the number of requests required to get your inference done. It is advised to only set this flag to true after receiving a 503 error, as it will limit hanging in your application to known places. Read more about model availability [here](../overview#eligibility]). |
-
-For more information about Inference API headers, check out the parameters [guide](../parameters).
-
 #### Response
 
 | Body |  |