Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Wende/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wende/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Wende/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Wende/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Wende/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 3
ddcc13b -
Training in progress, epoch 2
ddf4a9f -
Training in progress, epoch 1
206f369 -
update model card README.md
db98736 -
Training complete
d3b22a5 -
Training in progress, epoch 3
e4eefda -
Training in progress, epoch 2
06ba2a1 -
Training in progress, epoch 1
fe8123a -
initial commit
7ca5042