Instructions to use raulgdp/bert-base-case-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raulgdp/bert-base-case-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="raulgdp/bert-base-case-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("raulgdp/bert-base-case-ner") model = AutoModelForTokenClassification.from_pretrained("raulgdp/bert-base-case-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training complete
Verified signature924ea12 -
Training in progress, epoch 5
Verified signaturef1fa1c6 -
Training in progress, epoch 4
Verified signature6c0a50d -
Training in progress, epoch 3
Verified signatureaa14ccc -
Training in progress, epoch 2
Verified signaturefdac618 -
Training in progress, epoch 1
Verified signaturefe82574
-
Training complete
Verified signature9b76e37 -
Training in progress, epoch 5
Verified signatured21efd3 -
Training in progress, epoch 4
Verified signature032a1ed -
Training in progress, epoch 3
Verified signatureeb09218 -
Training in progress, epoch 2
Verified signaturec58955b -
Training in progress, epoch 1
Verified signaturef8a71fa -
Update README.md
Verified signature24269b3 -
Update README.md
Verified signatureeea9820 -
Training complete
Verified signaturec602a7d -
Training in progress, epoch 3
Verified signature3c8a455 -
Training in progress, epoch 2
Verified signature112307c -
Training in progress, epoch 1
Verified signature0a7a90b -
initial commit
Verified signature422d510