Instructions to use ZurichNLP/mlit-leo-7b-ml3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZurichNLP/mlit-leo-7b-ml3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LeoLM/leo-hessianai-7b") model = PeftModel.from_pretrained(base_model, "ZurichNLP/mlit-leo-7b-ml3") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from ZurichNLP/mlit-leo-7b-ml3: direct link, hf CLI and curl.
- Browser
- Download file 640 MB
-
https://huggingface.co/ZurichNLP/mlit-leo-7b-ml3/resolve/main/adapter_model.bin
- Command line
-
hf download hf://ZurichNLP/mlit-leo-7b-ml3/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/ZurichNLP/mlit-leo-7b-ml3/resolve/main/adapter_model.bin
640 MB
- Xet hash:
- ba8bb72e83d18aadc2026129e2bde35d0150074b53a392df764c7b0325ea5d41
- Size of remote file:
- 640 MB
- SHA256:
- 621bc4c0bad0d5fcc71db9218959d7e403a40beb51666ddf04a894124ad2e049
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