Instructions to use filbench/tl_hash_transition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use filbench/tl_hash_transition with spaCy:
!pip install https://huggingface.co/filbench/tl_hash_transition/resolve/main/tl_hash_transition-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_hash_transition") # Importing as module. import tl_hash_transition nlp = tl_hash_transition.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da283629d1d071623df8961a256ff72f0cc597b82c4cbee8f5825818fb6ec364
- Size of remote file:
- 1.75 MB
- SHA256:
- afff762729c72262d243aa69447a41fa30339f174ec95b423e3e681b8cff2fa5
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