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:
- 9f32cf6b03bd82a47de2f6d8218caa4213c289799ffed0f2bd39c48c52859e8d
- Size of remote file:
- 1.75 MB
- SHA256:
- 044d02ae78f90be7fc1ca499681a0e8df87dd5361cb21d70d672dcbd597395df
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