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:
- 893d56d6a4df058cb436cd4e1fc50cb2307b512628b537ae59e4ed10b966f8b1
- Size of remote file:
- 88 Bytes
- SHA256:
- 65e83016c6766af93d6a2328d29c358c45e698fd43c0159c45bfc3d352e56b76
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