Instructions to use thalllsssss/6a0cb56a-3b86-4f99-a379-223018ca7038 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalllsssss/6a0cb56a-3b86-4f99-a379-223018ca7038 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "thalllsssss/6a0cb56a-3b86-4f99-a379-223018ca7038") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from thalllsssss/6a0cb56a-3b86-4f99-a379-223018ca7038: direct link, hf CLI and curl.
- Browser
- Download file 80.9 MB
-
https://huggingface.co/thalllsssss/6a0cb56a-3b86-4f99-a379-223018ca7038/resolve/main/adapter_model.bin
- Command line
-
hf download hf://thalllsssss/6a0cb56a-3b86-4f99-a379-223018ca7038/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/thalllsssss/6a0cb56a-3b86-4f99-a379-223018ca7038/resolve/main/adapter_model.bin
80.9 MB
- Xet hash:
- 739d4d9861647a5806dbd6ee580258011e568bc7d2885b574ca9e28e5eebbbf2
- Size of remote file:
- 80.9 MB
- SHA256:
- 77a983e4ea63f07126fc29bc42efbfbedcc8f5a0357179c2e2a4909f89af8d26
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.