Instructions to use nimamegh/ner_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use nimamegh/ner_model with spaCy:
!pip install https://huggingface.co/nimamegh/ner_model/resolve/main/ner_model-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("ner_model") # Importing as module. import ner_model nlp = ner_model.load() - Notebooks
- Google Colab
- Kaggle
Download transformer/model from nimamegh/ner_model: direct link, hf CLI and curl.
- Browser
- Download file 747 MB
-
https://huggingface.co/nimamegh/ner_model/resolve/main/transformer/model
- Command line
-
hf download hf://nimamegh/ner_model/transformer/model
-
curl -L -o model https://huggingface.co/nimamegh/ner_model/resolve/main/transformer/model
747 MB
- Xet hash:
- 8cd2d8356f7226dc30f44d9b3dcb88144297490f4c4906070fad4dcfaaa6e9fd
- Size of remote file:
- 747 MB
- SHA256:
- cf95a1f5360368a39c66a70fae42e7f788d51e69eb06f9b07b79d33260f66b14
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