Instructions to use swadeshb/SmolLM2-1.7B-Instruct-MPO-SKD-V7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swadeshb/SmolLM2-1.7B-Instruct-MPO-SKD-V7 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("swadeshb/SmolLM2-1.7B-Instruct-MPO-SKD-V7", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92fa998b173ca40119b4fa2371c00efda6d45237a52efb892d2542395276d830
- Size of remote file:
- 7.63 kB
- SHA256:
- 1669119c03b5ce2aa37296e2420bcdbb5a1faf2decbd8386df44aa0a9e2cb6c5
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