Instructions to use reflex-project/it_trf_nrp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use reflex-project/it_trf_nrp with spaCy:
!pip install https://huggingface.co/reflex-project/it_trf_nrp/resolve/main/it_trf_nrp-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("it_trf_nrp") # Importing as module. import it_trf_nrp nlp = it_trf_nrp.load() - Notebooks
- Google Colab
- Kaggle
Download ner/model from reflex-project/it_trf_nrp: direct link, hf CLI and curl.
- Browser
- Download file 220 kB
-
https://huggingface.co/reflex-project/it_trf_nrp/resolve/main/ner/model
- Command line
-
hf download hf://reflex-project/it_trf_nrp/ner/model
-
curl -L -o model https://huggingface.co/reflex-project/it_trf_nrp/resolve/main/ner/model
220 kB
- Xet hash:
- 6eefd5035c3f3b851583d21755dea9495e9852916883d7d080bace2e3ccfbdfb
- Size of remote file:
- 220 kB
- SHA256:
- e27caa461242d0fb76591f0831beb57f6678f9fee49765924837c7f8a7e220a5
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