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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 178 kB xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet
- 88 Bytes xet