Instructions to use alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637/resolve/main/adapter_model.bin
- Command line
-
hf download hf://alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637/resolve/main/adapter_model.bin
671 MB
- Xet hash:
- b18cf5e6c9a11b2ab3168a2c56b1391006255c89f71bf3ce7bf6b2d752768125
- Size of remote file:
- 671 MB
- SHA256:
- ff94f9ba5a923c2588ef1cb7b88ca24e53c6856a69ea2513d43564897f86199d
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