Instructions to use issdandavis/scbe-coding-approval-metrics-v3-marker-focus-scaffold-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use issdandavis/scbe-coding-approval-metrics-v3-marker-focus-scaffold-hf with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("issdandavis/scbe-coding-approval-metrics-v3-marker-focus-scaffold-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 719f9c3e7c064f32d63146df77357845502e2d7c2a1462629c646c823ee115fd
- Size of remote file:
- 17.6 MB
- SHA256:
- 43530b460acff63a8966693d23f9c13783334e013c5d8ffdca8e8d66b3ae4c38
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