Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use sanjay7178/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanjay7178/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sanjay7178/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sanjay7178/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("sanjay7178/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55fd3f0539b0d3c638c7c5657736f0cb8d112e0391c2f3e4cd00ab28b8a43e6b
- Size of remote file:
- 3.9 kB
- SHA256:
- f7a1d6729892379ef746b0cae154ce6b921afc571e2f5d354ea6335d63a046a8
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