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:
- 37c1e3e47f92b41c4634e7230c71817f8cd59d0efb2a3ab98bada30aee3940c1
- Size of remote file:
- 88 Bytes
- SHA256:
- 9cc4bc547f1a8d85a7df8a715b4bd24dd035f9502d91706a20f7e55b0908fb4f
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