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:
- d0654c636c68be665b82db9d99bb23ab7bbaf0bc23c3a6f1d6d699b43e686f2b
- Size of remote file:
- 88 Bytes
- SHA256:
- d979b6b01cf5f1e173bf09d6ddc43c42a2f53e54921b1db3f96c4fb6d6de0bbb
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