Instructions to use FriendlyUser/en_stonk_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use FriendlyUser/en_stonk_pipeline with spaCy:
!pip install https://huggingface.co/FriendlyUser/en_stonk_pipeline/resolve/main/en_stonk_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_stonk_pipeline") # Importing as module. import en_stonk_pipeline nlp = en_stonk_pipeline.load() - Notebooks
- Google Colab
- Kaggle
Download parser/model from FriendlyUser/en_stonk_pipeline: direct link, hf CLI and curl.
- Browser
- Download file 320 kB
-
https://huggingface.co/FriendlyUser/en_stonk_pipeline/resolve/main/parser/model
- Command line
-
hf download hf://FriendlyUser/en_stonk_pipeline/parser/model
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curl -L -o model https://huggingface.co/FriendlyUser/en_stonk_pipeline/resolve/main/parser/model
320 kB
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