Instructions to use ner4archives/fr_ner4archives_default_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use ner4archives/fr_ner4archives_default_test with spaCy:
!pip install https://huggingface.co/ner4archives/fr_ner4archives_default_test/resolve/main/fr_ner4archives_default_test-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fr_ner4archives_default_test") # Importing as module. import fr_ner4archives_default_test nlp = fr_ner4archives_default_test.load() - Notebooks
- Google Colab
- Kaggle
Download tok2vec/model from ner4archives/fr_ner4archives_default_test: direct link, hf CLI and curl.
- Browser
- Download file 4.44 MB
-
https://huggingface.co/ner4archives/fr_ner4archives_default_test/resolve/main/tok2vec/model
- Command line
-
hf download hf://ner4archives/fr_ner4archives_default_test/tok2vec/model
-
curl -L -o model https://huggingface.co/ner4archives/fr_ner4archives_default_test/resolve/main/tok2vec/model
4.44 MB
- Xet hash:
- b3d78cbaa4e46cd4818df2a784719ce6bdf814f26065883dec24a90bf5d1ce75
- Size of remote file:
- 4.44 MB
- SHA256:
- 123c075e3375dcd1730ed12a82cad61a79f79ec6d2e9fa60d7b4c601430c3e3b
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