Instructions to use filbench/tl_mdeberta_v3_transition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use filbench/tl_mdeberta_v3_transition with spaCy:
!pip install https://huggingface.co/filbench/tl_mdeberta_v3_transition/resolve/main/tl_mdeberta_v3_transition-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_mdeberta_v3_transition") # Importing as module. import tl_mdeberta_v3_transition nlp = tl_mdeberta_v3_transition.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 912bd4d5dfc2091c76a73ab4ca010a03ff7dca05cc2d9325a39fa6217d86dfbf
- Size of remote file:
- 1.21 MB
- SHA256:
- a854a73c607789b888ca159dff1d685f9d2fae848e7b2ebd195b4e7448372bbc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.