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:
- 01e53dfe8b53e992eefa8c342e96dcda7f501bc4433bd40e9a2e0648e5ad1e25
- Size of remote file:
- 431 MB
- SHA256:
- 7c77d6ec00cb37cf206556a6896ce30cc806482491041b98ea2ba3711159c5ee
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