Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use dylanalloy/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dylanalloy/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dylanalloy/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dylanalloy/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("dylanalloy/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
fd28d93 -
Training complete
ed02284 -
Training in progress, epoch 1
df1584b -
update model card README.md
171c5db -
Training complete
2e3ed18 -
Training in progress, epoch 1
06a171d -
Training in progress, epoch 1
b3a7ef0 -
Training in progress, epoch 1
dc7b6d8 -
initial commit
7b98600