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:
- 816c24457b2f2f3e827388e2bfeda7e17c81d4f655673e3f29f9fa197fe83219
- Size of remote file:
- 88 Bytes
- SHA256:
- 44118092c07c2b06c2f34d07e6d57b46cb3a1e9dea99c29eff36968d524ee45f
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