Instructions to use niltonseixas/NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use niltonseixas/NER with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("niltonseixas/NER", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from niltonseixas/NER: direct link, hf CLI and curl.
- Browser
- Download file 1.33 GB
-
https://huggingface.co/niltonseixas/NER/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://niltonseixas/NER/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/niltonseixas/NER/resolve/main/pytorch_model.bin
1.33 GB
- Xet hash:
- 6798ad2eb2936d0d6247174a2a7381687b416fbb625c89ef550a0abf7df41a66
- Size of remote file:
- 1.33 GB
- SHA256:
- 8164d3dd85e204b8255cb973be5b70dc84b41c45e01ff55963a592ed2be153e5
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