Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use onkar125/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onkar125/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="onkar125/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("onkar125/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("onkar125/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9f4a9f44ac85ddc59995eb03c6edace08021827700112b79606babe8446a9c6
- Size of remote file:
- 5.05 kB
- SHA256:
- 24b952bf94bb5dd27ae90acff20b43bba31031f65d805c7b2445ea70edb59562
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