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The Serverless Inference API can serve predictions on-demand from over 100,000 models deployed on the Hugging Face Hub, dynamically loaded on shared infrastructure. If the requested model is not loaded in memory, the Serverless Inference API will start by loading the model into memory and returning a 503 response, before it can respond with the prediction.
Detailed parameters Which task is used by this model ? In general the 🤗 Hosted API Inference accepts a simple string as an input. However, more advanced usage depends on the “task” that the model solves.
Downloading models Integrated libraries. If a model on the Hub is tied to a supported library, loading the model can be done in just a few lines.For information on accessing the model, you can click on the “Use in Library” button on the model page to see how to do so.
When the API key is created click on Set Permissions. Authorize Inference with this API key; After installation, the Hugging Face API wizard should open. If not, open it by clicking "Window" > "Hugging Face API Wizard". Test the API key. Optionally, update the endpoints to use different models.
Hub API Endpoints. We have open endpoints that you can use to retrieve information from the Hub as well as perform certain actions such as creating model, dataset or Space repos. We offer a wrapper Python library, huggingface_hub, that allows easy access to these endpoints. We also provide webhooks to receive real-time incremental info about repos.
Learn more about Inference Endpoints at Hugging Face . It works with both Inference API (serverless) and Inference Endpoints (dedicated). You can also try out a live interactive notebook, see some demos on hf.co/huggingfacejs, or watch a Scrimba tutorial that explains how Inference Endpoints works.
You can find your API_TOKEN under Settings from your Hugging Face account. The API_TOKEN will allow you to send requests to the Inference API. >>> inference = InferenceApi(repo_id= "bert-base-uncased", token=API_TOKEN) The metadata in the model card and configuration files (see here for more details) determines the pipeline type. For example ...
