Hugging Face integrations
Hugging Face is an AI research organization and a popular platform for natural language processing (NLP) models and tools. It provides a wide range of pre-trained models for tasks such as text generation, translation, sentiment analysis, and more. With Hugging Face, developers and researchers can access state-of-the-art NLP models, fine-tune them for specific tasks, and integrate them into their applications with ease.
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Document Question Answering
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](https://huggingface.co/docs/huggingface.js/inference/classes/HfInferencequestionanswer).
Text Classification
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](https://huggingface.co/docs/huggingface.js/inference/classes/HfInferencetextclassification).
Text Summarization
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](https://huggingface.co/docs/huggingface.js/inference/classes/HfInferencesummarization).
Object Detection
This task reads some image input and outputs the likelihood of classes and bounding boxes of detected objects. [See the docs](https://huggingface.co/docs/huggingface.js/inference/classes/HfInferenceobjectdetection).
Image Classification
This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. [See the docs](https://huggingface.co/docs/huggingface.js/inference/classes/HfInferenceimageclassification).
Language Translation
This task is well known to translate text from one language to another. [See the docs](https://huggingface.co/docs/huggingface.js/inference/classes/HfInferencetranslation).