Instructions to use danielvasic/en_acnl_roberta_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use danielvasic/en_acnl_roberta_pipeline with spaCy:
!pip install https://huggingface.co/danielvasic/en_acnl_roberta_pipeline/resolve/main/en_acnl_roberta_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_acnl_roberta_pipeline") # Importing as module. import en_acnl_roberta_pipeline nlp = en_acnl_roberta_pipeline.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12095bb997bd29ab23d64bdfc1b076a7eb44b805c24a63de7230ffc4f6ecf8de
- Size of remote file:
- 1.32 MB
- SHA256:
- 0551039c2db6e55824227d743a3528e0701338f52be0f7ae65f4735ba897b2ee
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