Instructions to use reflex-project/fr_trf_nrp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use reflex-project/fr_trf_nrp with spaCy:
!pip install https://huggingface.co/reflex-project/fr_trf_nrp/resolve/main/fr_trf_nrp-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fr_trf_nrp") # Importing as module. import fr_trf_nrp nlp = fr_trf_nrp.load() - Notebooks
- Google Colab
- Kaggle
Download ner/model from reflex-project/fr_trf_nrp: direct link, hf CLI and curl.
- Browser
- Download file 220 kB
-
https://huggingface.co/reflex-project/fr_trf_nrp/resolve/main/ner/model
- Command line
-
hf download hf://reflex-project/fr_trf_nrp/ner/model
-
curl -L -o model https://huggingface.co/reflex-project/fr_trf_nrp/resolve/main/ner/model
220 kB
- Xet hash:
- ab53dd8e34446824459e8b319a5f7a9ea30e0a20bb73ad43d9ba9ece28de2d83
- Size of remote file:
- 220 kB
- SHA256:
- 8724160134c4440d4c3913eb273b51d1c6fa9c3c615e350ede88dca3429ffff4
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