Instructions to use antimage88/80b65fd5-a25c-415a-a2f7-da7e72bee688 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/80b65fd5-a25c-415a-a2f7-da7e72bee688 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "antimage88/80b65fd5-a25c-415a-a2f7-da7e72bee688") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from antimage88/80b65fd5-a25c-415a-a2f7-da7e72bee688: direct link, hf CLI and curl.
- Browser
- Download file 78.2 MB
-
https://huggingface.co/antimage88/80b65fd5-a25c-415a-a2f7-da7e72bee688/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://antimage88/80b65fd5-a25c-415a-a2f7-da7e72bee688/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/antimage88/80b65fd5-a25c-415a-a2f7-da7e72bee688/resolve/main/adapter_model.safetensors
78.2 MB
- Xet hash:
- f39326500dac8cc1a04f619d2bd379bcd5aecc654cef66dedf115875a8eef824
- Size of remote file:
- 78.2 MB
- SHA256:
- e6d6c343db860f643d8060e396e0735cbf1cd047d3a654ee17dff3b712071700
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