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:
- 8ffddb1a7d8be7d2ab4e681b50c8826d2b357fcded68a618385ed39cd586f8b4
- Size of remote file:
- 88 Bytes
- SHA256:
- 4395e1cb436558fc3fb0ecce6ec54f7060dada1d71a969318c19c423c85d4609
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