Instructions to use AMR-KELEG/ALDi-Token-DI-30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AMR-KELEG/ALDi-Token-DI-30 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AMR-KELEG/ALDi-Token-DI-30")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AMR-KELEG/ALDi-Token-DI-30") model = AutoModelForTokenClassification.from_pretrained("AMR-KELEG/ALDi-Token-DI-30") - Notebooks
- Google Colab
- Kaggle
Commit History
Create README.md d1c88f3 verified
Adding `safetensors` variant of this model (#1) 73f15b5 verified
Track the final version of the model c6e93fe
Amr Keleg commited on