Instructions to use apwic/nerui-base-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apwic/nerui-base-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="apwic/nerui-base-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("apwic/nerui-base-2") model = AutoModelForTokenClassification.from_pretrained("apwic/nerui-base-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from apwic/nerui-base-2: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/apwic/nerui-base-2/resolve/main/training_args.bin
- Command line
-
hf download hf://apwic/nerui-base-2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/apwic/nerui-base-2/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 014f41ddd76357558fa70b0fe181b469b2a3a1a8090e919260ef1a554c2492ca
- Size of remote file:
- 5.05 kB
- SHA256:
- 0274bf9a02ff59425d89102b4cbd23f5be177d4eeb94c427f6d67093a99323f9
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