Instructions to use PurCL/codeart-26m-ti-O2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PurCL/codeart-26m-ti-O2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PurCL/codeart-26m-ti-O2")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("PurCL/codeart-26m-ti-O2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e65e1daa4239f90b0cf5469f893d32bbd3f2990c47ca2c1468674940637a247
- Size of remote file:
- 15.5 kB
- SHA256:
- 89c017bde6bf374f1bec9a07b1d8eb67d80df2b31c1b33a5d9db56a423a20c06
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