Instructions to use romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jhflow/mistral7b-lora-multi-turn-v2") model = PeftModel.from_pretrained(base_model, "romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721: direct link, hf CLI and curl.
- Browser
- Download file 85.7 MB
-
https://huggingface.co/romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721/resolve/201bc893c827063daf6e9593b1250c938f8a2d21/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721@201bc893c827063daf6e9593b1250c938f8a2d21/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721/resolve/201bc893c827063daf6e9593b1250c938f8a2d21/last-checkpoint/optimizer.pt
85.7 MB
- Xet hash:
- 8731ca4e847dcbbdf3b21b9f7f0dad8d4852a9f0b397b5c8b4210a62cf01c2d9
- Size of remote file:
- 85.7 MB
- SHA256:
- fe0877f178b06fff248e048e20653e9e5ee8e8a5029cfe113de7b0c3e4e60ab1
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