Instructions to use filbench/tl_roberta_tgl_transition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use filbench/tl_roberta_tgl_transition with spaCy:
!pip install https://huggingface.co/filbench/tl_roberta_tgl_transition/resolve/main/tl_roberta_tgl_transition-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_roberta_tgl_transition") # Importing as module. import tl_roberta_tgl_transition nlp = tl_roberta_tgl_transition.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b70f801e536ba0edd1a83f52a7f9ca4f6c7b853e11c90f7ef09f9ce63a48d476
- Size of remote file:
- 1.34 MB
- SHA256:
- 83de2193a6c8118829b3b533ff1b2caa141f0b5830a0df239f36693bebbed3bc
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