Instructions to use Kevin201217/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kevin201217/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Kevin201217/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Kevin201217/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Kevin201217/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
bert-finetuned-ner / runs /Apr13_03-32-50_441548a08422 /events.out.tfevents.1712979171.441548a08422.2625.1
- Xet hash:
- fb8afb0d7b796d505714f3ba9a4e5be1530f4dc07b0ebfb2cface9390e8c2db2
- Size of remote file:
- 7.72 kB
- SHA256:
- 8281d73bef701f43c3d3e0a16572e62de63d26b952fd6fb8f68e3094b9d38aa0
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