Instructions to use WaiLwin/senior_mininet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WaiLwin/senior_mininet with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WaiLwin/senior_mininet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from WaiLwin/senior_mininet: direct link, hf CLI and curl.
- Browser
- Download file 101 MB
-
https://huggingface.co/WaiLwin/senior_mininet/resolve/c052d9f7cdc7fb87e87f1f3643792bee798ade9c/adapter_model.safetensors
- Command line
-
hf download hf://WaiLwin/senior_mininet@c052d9f7cdc7fb87e87f1f3643792bee798ade9c/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/WaiLwin/senior_mininet/resolve/c052d9f7cdc7fb87e87f1f3643792bee798ade9c/adapter_model.safetensors
101 MB
- Xet hash:
- 24b8083e40d1bdd79ffb55189974df87d5398d8c40201f0d2eb7cca1845c1da1
- Size of remote file:
- 101 MB
- SHA256:
- 4d99132bc71456801d5a9c8ad12f7b3327de24c2b453b9fff2e4d4e1facd60f5
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