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:
- 67cbdc7edc0898863d5b88f896c640fc2d94fb120d1ac57680ed50661e669448
- Size of remote file:
- 88 Bytes
- SHA256:
- ddd8fd828929ec594d0888c0bf9e3b6c1a1ba447a6e6606177fffafa0a4c9e03
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