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:
- 47e278860306410c01930a97e6eea821400237ce2ea3f094a0b34918fda11ba5
- Size of remote file:
- 88 Bytes
- SHA256:
- 84187faab7af5d0da399a36f9ca2a846c6598752c11cc1130f675e4bd85715ed
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