Instructions to use Manal0809/Mistral_nemo_calibrated_f1enhanced_full_oldinstruct_final_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Manal0809/Mistral_nemo_calibrated_f1enhanced_full_oldinstruct_final_v3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Instruct-2407-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Manal0809/Mistral_nemo_calibrated_f1enhanced_full_oldinstruct_final_v3") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Manal0809/Mistral_nemo_calibrated_f1enhanced_full_oldinstruct_final_v3: direct link, hf CLI and curl.
- Browser
- Download file 456 MB
-
https://huggingface.co/Manal0809/Mistral_nemo_calibrated_f1enhanced_full_oldinstruct_final_v3/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Manal0809/Mistral_nemo_calibrated_f1enhanced_full_oldinstruct_final_v3/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Manal0809/Mistral_nemo_calibrated_f1enhanced_full_oldinstruct_final_v3/resolve/main/adapter_model.safetensors
456 MB
- Xet hash:
- 313c3c77f70af3211ee04066ffdd6d1b23e399d59ce88c99950999db451c0266
- Size of remote file:
- 456 MB
- SHA256:
- be0a470d6b42800d5fe8ea27666a1711a7ee129aa02cf63c5825be2c3dc1f456
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