Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Gladiator/bert-large-uncased_ner_conll2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gladiator/bert-large-uncased_ner_conll2003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Gladiator/bert-large-uncased_ner_conll2003")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Gladiator/bert-large-uncased_ner_conll2003") model = AutoModelForTokenClassification.from_pretrained("Gladiator/bert-large-uncased_ner_conll2003", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
296e085 -
End of training
7b62e9a -
Training in progress, epoch 5
9775912 -
Training in progress, epoch 4
1320069 -
Training in progress, epoch 3
911dafd -
Training in progress, epoch 2
deb0a66 -
Training in progress, epoch 1
c72ff94 -
initial commit
7d69f16