Instructions to use VERSIL91/54cbd832-1094-46c2-8fd7-d49114a7eace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/54cbd832-1094-46c2-8fd7-d49114a7eace with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-14B-Chat") model = PeftModel.from_pretrained(base_model, "VERSIL91/54cbd832-1094-46c2-8fd7-d49114a7eace") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from VERSIL91/54cbd832-1094-46c2-8fd7-d49114a7eace: direct link, hf CLI and curl.
- Browser
- Download file 125 MB
-
https://huggingface.co/VERSIL91/54cbd832-1094-46c2-8fd7-d49114a7eace/resolve/main/adapter_model.bin
- Command line
-
hf download hf://VERSIL91/54cbd832-1094-46c2-8fd7-d49114a7eace/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/VERSIL91/54cbd832-1094-46c2-8fd7-d49114a7eace/resolve/main/adapter_model.bin
125 MB
- Xet hash:
- b63bf3f1f5e7c0390443f362201a32faa4f04783e8f48bc8bbcc52e90511bd8f
- Size of remote file:
- 125 MB
- SHA256:
- 88e870b84685f95a6d7f652edb51ceb185408c9004ff1fe203026fc2b575d4bb
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