Instructions to use basedlsg/nemu-001-distill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use basedlsg/nemu-001-distill with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("basedlsg/nemu-001-distill", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e94d48be99b9e76fc23898dd07918cc2965d1ea2456c51bc8d9b9b0ec5ff4eb5
- Size of remote file:
- 5.65 kB
- SHA256:
- 78687ff5b07f48a1c2f61e392ef7bc0bc7356205d066b78e9e98283c5b44469c
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