Instructions to use onionLad/identifier-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onionLad/identifier-deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="onionLad/identifier-deberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("onionLad/identifier-deberta") model = AutoModelForTokenClassification.from_pretrained("onionLad/identifier-deberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature4de94b9 -
Training in progress, epoch 1
Verified signature7ec7ab2 -
Training in progress, epoch 3
Verified signature6caf3ee -
Training in progress, epoch 2
Verified signatured15b436 -
Training in progress, epoch 1
Verified signature7ff2251 -
Training in progress, epoch 4
Verified signature3ddec43 -
Training in progress, epoch 2
Verified signatureb8927c9 -
Training in progress, epoch 1
Verified signature060efab -
Create README.md
Verified signature8ab3f04 -
Training in progress, epoch 2
Verified signature0b366ac -
Training in progress, epoch 1
Verified signature0b1f69c -
initial commit
Verified signaturee7025bb