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:
- 73ac93e798a5908d705100fd5414c0ec8a146ef22756b1e26843e2f4bb076d33
- Size of remote file:
- 88 Bytes
- SHA256:
- 2bcb91c1a5d3c86583b74d8d3a0555492d3c3a623d58aba232cd958cfcaae8a0
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