Instructions to use anfemora/pharmaconer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anfemora/pharmaconer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="anfemora/pharmaconer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("anfemora/pharmaconer") model = AutoModelForTokenClassification.from_pretrained("anfemora/pharmaconer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training complete
Verified signature27d37a5 -
Create README.md
Verified signature9cfce52 -
Training in progress, epoch 10
Verified signature94d7d84 -
Training in progress, epoch 9
Verified signature0b9fe14 -
Training in progress, epoch 8
Verified signature8d50609 -
Training in progress, epoch 7
Verified signature3bb8f8d -
Training in progress, epoch 6
Verified signature0028d0c -
Training in progress, epoch 5
Verified signature178cf8b -
Training in progress, epoch 4
Verified signature9a9241d -
Training in progress, epoch 3
Verified signature02e6fd6 -
Training in progress, epoch 2
Verified signature66e12aa -
Training in progress, epoch 1
Verified signatureb8257cc -
initial commit
Verified signaturea4507fc