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:
- 6b58217b06ffe00fed71e52b91dd96e658406a3c24543b93ccedda7620e36e2e
- Size of remote file:
- 88 Bytes
- SHA256:
- 6ccc461100f70b2a2724220090cb6a8ef3083b2a81eb2917672fbc6c8c4c313a
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