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:
- 7be4aeb3b35fb5a7022dce5f1098bd14fde5012638a8248cfb58612f59811719
- Size of remote file:
- 88 Bytes
- SHA256:
- 51c9267b281daa18687ce1b51083169b9ebf2d6b747946d71ad7fa34f04ba662
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