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:
- ca72f8813d5e50f3e902a4da5b9ccbf642adff4855068cba0dd4118da462a52e
- Size of remote file:
- 178 kB
- SHA256:
- d70566a6399c0d2fbd6cc4f0c420d68be384f9a8e60e7e1d9d10d95ad3ea0333
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