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:
- 8d42310f322c67fa49458628262a776612abea400dd4cc40d11ae19e815c2fd3
- Size of remote file:
- 88 Bytes
- SHA256:
- afcfff1e539b3f9a2ceff68c31910dbf9d35c03809b16d59ad44c4fe0cdb3e0b
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