Instructions to use sgugger/test-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgugger/test-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sgugger/test-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sgugger/test-ner") model = AutoModelForTokenClassification.from_pretrained("sgugger/test-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d018451c31e46ceee1081b15e327e0a141705eaa3121e09423ac289295e7835e
- Size of remote file:
- 2.8 kB
- SHA256:
- 80ce40af06da1c4d8c4322f723d819feac2556cb3db44257a1bee23a7f807179
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