Instructions to use PurCL/codeart-26m-ti-O1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PurCL/codeart-26m-ti-O1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PurCL/codeart-26m-ti-O1")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("PurCL/codeart-26m-ti-O1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a73a7d6cc8d7908b20cc123226d4938da44b67fe1bbfa3d3d69eff761728bde1
- Size of remote file:
- 436 MB
- SHA256:
- 653a2524bb67b95c8298bfd9fbfd98a5d07dc6358489056e4b2c73294256b8f0
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