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:
- c8dc32c99f9f501aacc3adbb447e34b93c0aa024bb94e98ad45507789bc1e211
- Size of remote file:
- 88 Bytes
- SHA256:
- c5433bc10ae5622046a15f94ca883ceeb0c761bf4b9769b052862a81cc368a71
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