Instructions to use shravanSCU/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shravanSCU/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="shravanSCU/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("shravanSCU/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("shravanSCU/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d4267bcb102242d1c44c0923bc3300d36a279233f52dc04f2238fd585f7c849
- Size of remote file:
- 5.27 kB
- SHA256:
- 374d0effa1e1b25b90fd7980f9aa3a8f81a17f94b84568d939095cba2c8aae2b
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