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 training_args.bin from sumble/ner-pass2-test-0: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/sumble/ner-pass2-test-0/resolve/main/training_args.bin
- Command line
-
hf download hf://sumble/ner-pass2-test-0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sumble/ner-pass2-test-0/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 8802d97d78cfcf775daa0b2a2632a644c3fd75ff8f0008269f5ce1561e85e663
- Size of remote file:
- 3.96 kB
- SHA256:
- 42a36ac563eed83bd91e241fbf855f39df23eccfcb8fb4fb1cf7644e8abae7ce
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