Instructions to use 1-lock/380e71f9-9872-4cbe-8371-f48cc6f52acf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/380e71f9-9872-4cbe-8371-f48cc6f52acf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-7B") model = PeftModel.from_pretrained(base_model, "1-lock/380e71f9-9872-4cbe-8371-f48cc6f52acf") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from 1-lock/380e71f9-9872-4cbe-8371-f48cc6f52acf: direct link, hf CLI and curl.
- Browser
- Download file 320 MB
-
https://huggingface.co/1-lock/380e71f9-9872-4cbe-8371-f48cc6f52acf/resolve/main/adapter_model.bin
- Command line
-
hf download hf://1-lock/380e71f9-9872-4cbe-8371-f48cc6f52acf/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/1-lock/380e71f9-9872-4cbe-8371-f48cc6f52acf/resolve/main/adapter_model.bin
320 MB
- Xet hash:
- 37aacecdf5428b647a6a16b2a77ffe0aa7f89e15db74a24fc6b5d862fb9272dc
- Size of remote file:
- 320 MB
- SHA256:
- d7e53c0b48006006ddedac4a5ff81310f7bf6db4e9a9386a933f65daddd3cae5
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