Instructions to use venkatpr/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use venkatpr/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="venkatpr/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("venkatpr/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("venkatpr/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b3d39fb463219eccb835c35454eb04fe2beca1c92a349fc350bfba890b7b3bc
- Size of remote file:
- 3.96 kB
- SHA256:
- 521a9ddaf75b29e3cd0d7a88043c02ae8c05f3f50ff12f2d6470a9a317e7c384
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