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
File size: 133 Bytes
6c2fd6d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:78df8949994e533f792b246b0851cd611b4c6b20991022633cb7dc3b6788bfb8
size 34434008
|