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:
- fbbfb140e455e4a3931a9fc51491cc2be2263385027a1e0ca43cb59abf0c0dce
- Size of remote file:
- 88 Bytes
- SHA256:
- a557ac5392eb89fd80537dfbabcaefc741f59187a6c9ab18d5ceeb8127b0ec49
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