Instructions to use mholi/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mholi/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mholi/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mholi/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("mholi/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a78460e62c4489a16831e2995f48e6c038fa8da7b05d93041c994b27af7f6515
- Size of remote file:
- 3.39 kB
- SHA256:
- 6aec0ec183f297f672a1601199cb761ed1fde77f70fde8053a04dd7b30eeba05
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