Instructions to use hadro/cde-smoke-v4data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hadro/cde-smoke-v4data with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hadro/cde-smoke-v4data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ce4d95948cdbc5d6705296d65843fb58148fcd9aa15d7616971fe54f582d360
- Size of remote file:
- 5.71 kB
- SHA256:
- 6c1fb70f5e4bb37fd3c1a15ebf9697b4414d1638096623f95be186847b0bcfa8
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