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:
- f1404b03b4ae4362d234afc2790270e04476bed7d2fbd6ab1c6a40536613cdb6
- Size of remote file:
- 872 MB
- SHA256:
- 0c6c359584564d39606f50ed193011679de488eca34b6dacdaf2b64c1e64a487
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