Instructions to use Masabanees619/SmolLM2-FT-MyDataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Masabanees619/SmolLM2-FT-MyDataset with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Masabanees619/SmolLM2-FT-MyDataset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5d5c6ab12c474dd8488a06199e08233d65da0e84d08f0822b4d3cde4ee0a1f4
- Size of remote file:
- 5.82 kB
- SHA256:
- d6a927e98245889e13ba7dd99f439c4e830f7f476f9d3805b06a01751e00b62b
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