Instructions to use filbench/tl_spacy_baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use filbench/tl_spacy_baseline with spaCy:
!pip install https://huggingface.co/filbench/tl_spacy_baseline/resolve/main/tl_spacy_baseline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_spacy_baseline") # Importing as module. import tl_spacy_baseline nlp = tl_spacy_baseline.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 182a192ade90ec9cdebf5cfc9ca63ef2125aa06362d49fbc507a991349002a07
- Size of remote file:
- 1.75 MB
- SHA256:
- 398e8e3766d824c905400effd911b9b6340380d49c04b881c757e3edc14eb1d9
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