Instructions to use dada22231/e47cf704-dd38-47a6-b088-d32209c2fcf5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/e47cf704-dd38-47a6-b088-d32209c2fcf5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "dada22231/e47cf704-dd38-47a6-b088-d32209c2fcf5") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from dada22231/e47cf704-dd38-47a6-b088-d32209c2fcf5: direct link, hf CLI and curl.
- Browser
- Download file 55.2 kB
-
https://huggingface.co/dada22231/e47cf704-dd38-47a6-b088-d32209c2fcf5/resolve/main/adapter_model.bin
- Command line
-
hf download hf://dada22231/e47cf704-dd38-47a6-b088-d32209c2fcf5/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/dada22231/e47cf704-dd38-47a6-b088-d32209c2fcf5/resolve/main/adapter_model.bin
55.2 kB
- Xet hash:
- edfd77df4359a1f05fa2ae08d271c3ed93326bbdc6864f1fe0d1345faf8e2e6d
- Size of remote file:
- 55.2 kB
- SHA256:
- 5ddbb45386ff5f4f1b927833f306f9ff03e72ad4d68c92160c3609ef9a532ee2
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