Instructions to use NekoCoders/x5-ner-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NekoCoders/x5-ner-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="NekoCoders/x5-ner-final")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("NekoCoders/x5-ner-final") model = AutoModelForTokenClassification.from_pretrained("NekoCoders/x5-ner-final") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9576cab375b95ad7e14cf6940a07c374eec50fe9cc51ceb9ff49444501ea6f95
- Size of remote file:
- 2.24 GB
- SHA256:
- 8c7f3b4ae25ba74bd80ce367da4b1e256f1ce5d37d04dd248c53ca7a4f779a77
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