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:
- 88cbd99a1ab253fddac4b4d7442f809b09cc99d6a42212b14c6a3f21d5e19bb7
- Size of remote file:
- 88 Bytes
- SHA256:
- 0080d42d34f74b603182c9ba295b6c5e13b590c4785505d9c9b5d522cf5abce3
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