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:
- 18f46f24dae33d2b95365edfbf266360e681493907b7e7aeb8dd4e8c3b48a9ec
- Size of remote file:
- 88 Bytes
- SHA256:
- c8e33a0502fad80b783246c2a415f853837656dcb5adf8606af74fa2a2810384
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