Instructions to use Utshav/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Utshav/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Utshav/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Utshav/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Utshav/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a1e1c3125f99677a48e139279c1fff138a30ed4d8bfa3017e0061c9d627e273
- Size of remote file:
- 4.73 kB
- SHA256:
- d99313201b70fd51559d9822c35702e5df854737a8cf8f44a512a2fb0c1757cd
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