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:
- e911039f22f3483c4ecba4cb4c40224fd5a0b6e53bb05ca0c4cd77d4e5401f30
- Size of remote file:
- 34.1 MB
- SHA256:
- 51213c8043f8f8d3f9ec004a7c83f1fa96d2471d770f7a9793a17849c6f45ae1
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