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:
- 445ebcd96ee544290e27203a7983545885d204cbbb2632700385695c5392705a
- Size of remote file:
- 4.02 kB
- SHA256:
- 3c53b114ee3695618d4d8a5a6aaf0b4cd5b626d9a81d765a87663ad619c8ec86
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