Instructions to use alchemist69/15149c0b-03a4-4c56-9116-de8da1127d7a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/15149c0b-03a4-4c56-9116-de8da1127d7a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Mistral-7b-64k") model = PeftModel.from_pretrained(base_model, "alchemist69/15149c0b-03a4-4c56-9116-de8da1127d7a") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from alchemist69/15149c0b-03a4-4c56-9116-de8da1127d7a: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/alchemist69/15149c0b-03a4-4c56-9116-de8da1127d7a/resolve/main/adapter_model.bin
- Command line
-
hf download hf://alchemist69/15149c0b-03a4-4c56-9116-de8da1127d7a/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/alchemist69/15149c0b-03a4-4c56-9116-de8da1127d7a/resolve/main/adapter_model.bin
671 MB
- Xet hash:
- 7df7cea6d577932fc98eaeefdc8bb9b9ca125260d8e9fc841916d34a11969d21
- Size of remote file:
- 671 MB
- SHA256:
- bbaa124b24b277c0279afce10d565c8cf2c43b6fba6c9724b7babb1e26869766
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