Instructions to use sumble/ner-pass2-test-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sumble/ner-pass2-test-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sumble/ner-pass2-test-0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sumble/ner-pass2-test-0") model = AutoModelForTokenClassification.from_pretrained("sumble/ner-pass2-test-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sumble/ner-pass2-test-0: direct link, hf CLI and curl.
- Browser
- Download file 592 MB
-
https://huggingface.co/sumble/ner-pass2-test-0/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sumble/ner-pass2-test-0/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sumble/ner-pass2-test-0/resolve/main/pytorch_model.bin
592 MB
- Xet hash:
- 342564067fe47231ad1e0e92d1a27aa6ef27af11e69a3d9ddb7acc05539af66c
- Size of remote file:
- 592 MB
- SHA256:
- f3909fb8a70c97a1c01d92508e9ef1307eafbc4789b9c385625e3b4c856b0c9b
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