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:
- e2bae66c59f4bf2d9ee9f75f0f99bf5d6c0f47e4ee463c969e2bc55417306af4
- Size of remote file:
- 88 Bytes
- SHA256:
- 8f14d70d2d38aa4105c81819f60f19fb6ff2397a8f3bc72728ac676989745ccd
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