Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Gayu/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gayu/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Gayu/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Gayu/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Gayu/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress epoch 2
6232c69 -
Training in progress epoch 1
5e15585 -
Training in progress epoch 0
a90a334 -
update model card README.md
3902960 -
Training complete
50e48de -
Training in progress, epoch 3
0dba481 -
Training in progress, epoch 2
e95a1f1 -
Training in progress, epoch 1
4ececa2
-
Training in progress epoch 2
8a340c0 -
Training in progress epoch 1
773ee1f -
Training in progress epoch 0
f91fb02 -
update model card README.md
f0d226d -
Training complete
9d4da9b -
Training in progress, epoch 3
b85624a -
Training in progress, epoch 2
15045e9 -
Training in progress, epoch 1
4002119 -
initial commit
2a1e4f4