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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afb953b78dee28db066727493538a49a1b64650b2822dbdc74782268a9d0c90c
- Size of remote file:
- 1.11 GB
- SHA256:
- 7635037a7cf5efca261c4b0edb9c12cc3e3ce9805727a98689571d6c1c45ff7a
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