Instructions to use buerokratt/ner_old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buerokratt/ner_old with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="buerokratt/ner_old")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("buerokratt/ner_old") model = AutoModelForTokenClassification.from_pretrained("buerokratt/ner_old", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from buerokratt/ner_old: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/buerokratt/ner_old/resolve/main/training_args.bin
- Command line
-
hf download hf://buerokratt/ner_old/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/buerokratt/ner_old/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- 80fddd9747a9d2c8d2382996cc5dccd86361fcd600c2f2aa9607d999c4f1a39d
- Size of remote file:
- 3.06 kB
- SHA256:
- a917bdc67a3dda3b0887e888189f1e8ecbb43c2d93dced431f682e03c9df34d7
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