Instructions to use PurCL/codeart-26m-ti-O3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PurCL/codeart-26m-ti-O3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PurCL/codeart-26m-ti-O3")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("PurCL/codeart-26m-ti-O3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72910450b0075f43fc3b9b3c93e583ca656e93b66c423b96f39b331bc16bd844
- Size of remote file:
- 872 MB
- SHA256:
- e960298d1a877deb85869d85e565c059833f69bd28ad709c0b25afb13c8c4a82
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