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:
- 9b36b907c6a0b73fe430fb08e4577f852a277476b146418efd281432e1629805
- Size of remote file:
- 88 Bytes
- SHA256:
- bbe0ad565274bce7a0b760d070dc23ef13bc3b22acc0f60d91be9f0f919c84f9
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