Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
bert
Generated from Trainer
ner
nlp
Eval Results (legacy)
Instructions to use harpertoken/harpertokenNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harpertoken/harpertokenNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="harpertoken/harpertokenNER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("harpertoken/harpertokenNER") model = AutoModelForTokenClassification.from_pretrained("harpertoken/harpertokenNER") - Notebooks
- Google Colab
- Kaggle
Commit History
Adding `safetensors` variant of this model (#1) 3a1410b verified
Adding `safetensors` variant of this model (#2) 45d3114 verified
Rebrand to harpertokenNER and clean up README 35b9137
bniladridas commited on
Metadata Enhancements: 6b3acc4 verified
Niladri Das commited on
update model card README.md 2cdd2f5
Training in progress, epoch 3 722882d
Training in progress, epoch 2 b0ae90e
Training in progress, epoch 1 62e741a
update model card README.md 5bcf39b
End of training a798459
Training in progress, step 1500 8a36582
Training in progress, step 1000 f796e19
Training in progress, step 500 0e2106f
initial commit 9d02162 verified
Niladri Das commited on