Instructions to use PurCL/codeart-26m-ti-O0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PurCL/codeart-26m-ti-O0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PurCL/codeart-26m-ti-O0")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("PurCL/codeart-26m-ti-O0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1095d71b97a9b84ac6a249569d2ae185449171dd8751619678567a9b80cba995
- Size of remote file:
- 436 MB
- SHA256:
- 7715f44d6842bb626fdce650e14755ec8e65fedb1313d43140f8c4cdddfc484a
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