Instructions to use michaelfeil/ct2fast-stablelm-base-alpha-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-stablelm-base-alpha-7b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-stablelm-base-alpha-7b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9d9017df41c78a0a2d3c4a6a3782e28268ee45237ef9f9b8915aef8c07fa1aa
- Size of remote file:
- 15.7 GB
- SHA256:
- b043617c0db655e52f70fe984226076cafcd40dcb6980989994deee806a27ee9
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