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:
- d32ce5e72bc6545499251d097a5b1e0f91dfa2bce7192bd9bf9d537e5b0acef2
- Size of remote file:
- 1.06 kB
- SHA256:
- e424787cea505de07cdb5e6bc6de55fe2e522aa4285f4f644811ae9de4d6156b
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