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:
- 232a12540df39c66c0f70fda1d331d26bec2d32349f5d01efbeed766ba900f9b
- Size of remote file:
- 4.02 kB
- SHA256:
- 68fe86793979f26a71c8224cf32e95a8eceefbdbe611bf6bc5a7f892b689227f
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