Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use vsrinivas/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vsrinivas/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vsrinivas/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vsrinivas/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("vsrinivas/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
96b6972 -
Training complete
093640b -
Training in progress, epoch 3
5dbd67f -
Training in progress, epoch 2
a8fab18 -
Training in progress, epoch 1
47bf3ca -
update model card README.md
e702ee2 -
Training complete
6bf210b -
Training in progress, epoch 3
e090280 -
Training in progress, epoch 2
d112f52 -
Training in progress, epoch 1
a0c2673 -
initial commit
076022b