Instructions to use PurCL/codeart-26m-ti-O3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PurCL/codeart-26m-ti-O3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PurCL/codeart-26m-ti-O3")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("PurCL/codeart-26m-ti-O3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6af7f16fecfc4eba462e25ddad92d6efa76be9fe79cc556a763fe65c455118ab
- Size of remote file:
- 436 MB
- SHA256:
- b306ae43115a740845f5f983e21c2a7e9867191f3d88f8ad1c940ef68a51bda4
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