Here is a list of Hugging Face Pipelines for NLP. For some reason these are difficult to find on Hugging Face’s own documentation, so I am listing them here for my own convenience (and yours).
- sentiment-analysis
- feature-extraction (convert text into a vector)
- ner (named entity recognition)
- text-generation
- fill-mask (“article spinning”)
- summarization
- translation (e.g. translation_en_to_fr)
- question-answering
- zero-shot-classification
- conversational (“chat bot”)
- text2text-generation
Non-text pipelines:
- image-classification
- image-segmentation
- object-detection
- audio-classification
GET THE COURSE HERE: https://deeplearningcourses.com/c/natural-language-processing-in-python