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:
- 22360277cb91c621fa95ec808527ea730faaa9d442f422c4ef3a242fc957dac0
- Size of remote file:
- 88 Bytes
- SHA256:
- 21a6429250bbf190bb2d6f5d63ec1219b6b8806fe92213cbac00c21db168e202
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