Instructions to use rdfez/tl_custom_calamancy_md with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use rdfez/tl_custom_calamancy_md with spaCy:
!pip install https://huggingface.co/rdfez/tl_custom_calamancy_md/resolve/main/tl_custom_calamancy_md-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_custom_calamancy_md") # Importing as module. import tl_custom_calamancy_md nlp = tl_custom_calamancy_md.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9ff6b9e164ef6389995733efcfa56322f042c0f8f519425e2a73e635d111ad6
- Size of remote file:
- 6.01 MB
- SHA256:
- 2ad3d9e532d9f90f8df2c1c946f796172c44bbbc09230193d28449eee522c5e4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.