Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use eddiegulay/g-bert-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eddiegulay/g-bert-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="eddiegulay/g-bert-NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("eddiegulay/g-bert-NER") model = AutoModelForTokenClassification.from_pretrained("eddiegulay/g-bert-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signaturef24bc18 -
Training in progress, epoch 5
Verified signature2139acb -
Training in progress, epoch 4
Verified signatured6fed22 -
Training in progress, epoch 3
Verified signaturec57aa76 -
Training in progress, epoch 2
Verified signature9a17eeb -
Training in progress, epoch 1
Verified signature21cea78 -
initial commit
Verified signature54bbd9e