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:
- 63c2104d4a1288072d01740e45abdaf116a9843debc1dcc1a2520f7e4b06a021
- Size of remote file:
- 88 Bytes
- SHA256:
- 72adf25e5a11a070268a7aae83bd69277e2fc7622d3d5e1b19a8117fefaa7add
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