Instructions to use SparseLLM/training-log with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SparseLLM/training-log with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SparseLLM/training-log", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12d68261ebdee3d6f177406061b1784bc24cae1c2560673dee7555e6c369e22b
- Size of remote file:
- 88 Bytes
- SHA256:
- 82b3eb21ea82e70fb836bcadccdfc8ff836aea26e5c038e35cbe6cb9e6621c6a
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