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:
- 852c1a46e273cd878f644d06eb14b024beb0c8f3aa31055bb710fa56593c8e76
- Size of remote file:
- 88 Bytes
- SHA256:
- b48a5b0eb8ffdeaa4c276e100ea84499f852cfc2847a2aa525cc545c957721c7
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