Instructions to use thangvip/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thangvip/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="thangvip/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("thangvip/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("thangvip/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ee008ee9858b4f754d7f8f1f2478c2b5f5b78d040dc5e5bd6005ef727a45d00
- Size of remote file:
- 431 MB
- SHA256:
- dde8cd64763a0d19916ce210178548b389a85969d17510c673de7e04f2da6315
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