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:
- a3e38442b93cf88779f51eac580b8bcf5fa7ee3b56f9e970933000debe9b13dd
- Size of remote file:
- 431 MB
- SHA256:
- 4a8848918c0976ad33e51676c66a9c15b9bd5a71a07b9726c8424c7ccb146280
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