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_04-28-07_441548a08422 /events.out.tfevents.1712982488.441548a08422.2625.4
- Xet hash:
- 4778d3fbeb53f6c3da374c5c94d1657336812cc7a72a59aed71914c0d09359ea
- Size of remote file:
- 7.72 kB
- SHA256:
- 61f36cb25d6425bcd6df72c563ed51607f3e16e12152e26bb951ea2a3ee881bc
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