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:
- b3492a5f2d84ecc4477fabb5e8fb0ea7f42869cb0443e9e3a4c95d6c88793237
- Size of remote file:
- 623 Bytes
- SHA256:
- 2010999371ee18f44f30927de69efe4fc9b7c47e3c73e5601a7c9d6e567b329f
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