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:
- 43e7515a847370a8c7f16c285a301cd46c1394bc87711e7fd6fd5e1a3300a028
- Size of remote file:
- 88 Bytes
- SHA256:
- 8b3effa8f73e552ee6d408986323f065a076894ee361d18749aedc8e447e63c4
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