Instructions to use filbench/tl_fasttext_transition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use filbench/tl_fasttext_transition with spaCy:
!pip install https://huggingface.co/filbench/tl_fasttext_transition/resolve/main/tl_fasttext_transition-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_fasttext_transition") # Importing as module. import tl_fasttext_transition nlp = tl_fasttext_transition.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfa5966a5e8d2e495acb3c773a21c37077c45b28cc142aa09995de3834d61c45
- Size of remote file:
- 34.4 MB
- SHA256:
- 78df8949994e533f792b246b0851cd611b4c6b20991022633cb7dc3b6788bfb8
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