Connect Hugging Face to HTTP / Webhook

Want to have a nice know-it-all bot that can answer any question?. This action allows you to ask a question and get an answer from a trained model. See the docs.

This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. See the docs.

This task is well known to translate text from one language to another. See the docs.

This task reads some image input and outputs the likelihood of classes and bounding boxes of detected objects. See the docs.

Usually used for sentiment-analysis this will output the likelihood of classes of an input. This action allows you to classify text into categories. See the docs.

This task is well known to summarize longer text into shorter text. Be careful, some models have a maximum length of input. That means that the summary cannot handle full books for instance. Be careful when choosing your model. See the docs.

Send an HTTP request using any method and URL. Optionally configure query string parameters, headers, and basic auth.

Send an HTTP GET request to any URL. Optionally configure query string parameters, headers and basic auth.

Send an HTTP POST request to any URL. Optionally configure query string parameters, headers and basic auth.

Send an HTTP PUT request to any URL. Optionally configure query string parameters, headers and basic auth.

Use with an HTTP trigger that uses "Return a custom response from your workflow" as its HTTP Response

Require authorization for incoming HTTP webhook requests. Make sure to configure the HTTP trigger to "Return a custom response from your workflow".

Validate HMAC signature for incoming HTTP webhook requests. Make sure to configure the HTTP trigger to "Return a custom response from your workflow".