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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a284d5cb45036325c2e6b87929f6fdcbf7206442330e6c285a4cb8b905c383c
- Size of remote file:
- 15.5 kB
- SHA256:
- 98653a31e0fb4d97c9aa0bfd1ed5be1f9259faf760b7344b822634758f4aa5a5
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