Instructions to use grace-pro/aligned_source_5e-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grace-pro/aligned_source_5e-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="grace-pro/aligned_source_5e-5")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("grace-pro/aligned_source_5e-5") model = AutoModelForTokenClassification.from_pretrained("grace-pro/aligned_source_5e-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 295c844644c38d26c39bc743f0df476dbd05f460353c6e57e301eb08deb55fa2
- Size of remote file:
- 1.11 GB
- SHA256:
- 6c775d113cbec915d69a78965dc067ea14d7b6d225b104578a1b8a8b0688e60e
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