Instructions to use Bayesian-KD/SmolLM-14m-Dolma-v0.1-Proposed-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bayesian-KD/SmolLM-14m-Dolma-v0.1-Proposed-full with Transformers:
# Load model directly from transformers import AutoTokenizer, OutputEmbeddingSelectiveUpdate tokenizer = AutoTokenizer.from_pretrained("Bayesian-KD/SmolLM-14m-Dolma-v0.1-Proposed-full") model = OutputEmbeddingSelectiveUpdate.from_pretrained("Bayesian-KD/SmolLM-14m-Dolma-v0.1-Proposed-full") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c4fe4373b2d0976ee2b65d8281dd21d1ab788e0a3e1d984cc0259d97d3f41f6
- Size of remote file:
- 1.06 kB
- SHA256:
- 3293fe9b1e13a85fbf8c7403153a005642e8d3b92255bd00fa709961fec0288a
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