Instructions to use AlketaR/lora1mistral-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AlketaR/lora1mistral-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "AlketaR/lora1mistral-7b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from AlketaR/lora1mistral-7b: direct link, hf CLI and curl.
- Browser
- Download file 13.7 MB
-
https://huggingface.co/AlketaR/lora1mistral-7b/resolve/main/adapter_model.bin
- Command line
-
hf download hf://AlketaR/lora1mistral-7b/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/AlketaR/lora1mistral-7b/resolve/main/adapter_model.bin
13.7 MB
- Xet hash:
- a362493c750e45fa91f53a2ff9994c2b9fe3b1e5450eb9f96052ee3838a723c2
- Size of remote file:
- 13.7 MB
- SHA256:
- d383b0ad7c5c7374f7daf50c741ae878540a298cbbda16059066f872df2fec98
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