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:
- 2b041fb82829df0c4e49fdae22988bcf20bf9226d43f8dff31a230159a7ad00b
- Size of remote file:
- 88 Bytes
- SHA256:
- 9c99ac4f82ededd1fbcbd0b00f363c7189a5898387fd4f5270e236bdeffc36a2
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