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:
- 0d12789208adc688d63b88daf617a3650eb3924adcd107a5cdf27a874fde0e5e
- Size of remote file:
- 436 MB
- SHA256:
- 27f62ddcabd3d360f65a4b00df1dcea4458bcc1a039115417b62c3fac17ef40f
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