Instructions to use Kibalama/smollm3-lora-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kibalama/smollm3-lora-sft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kibalama/smollm3-lora-sft", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1add4b8b5cfc96a0fde70048ff2c8655757a0a2fd16cc0b6100bd4b14cbdcdb
- Size of remote file:
- 6.29 kB
- SHA256:
- 4f4bc1ae4faab5a4c7c6ca1eab801c2ea5f87868d184e5b189c4f508fc577d9e
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