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:
- f64028d868489f6cc8b515af0863d7188c29f90a7c4d09a6ef79e839385ada5a
- Size of remote file:
- 88 Bytes
- SHA256:
- e04b2a1f6d31df289179b147561ec886b5b5a667918db3d71d8e64d55b98a525
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