Instructions to use prxy5605/3ba213a5-5d29-4b28-99f9-93f3cb37266a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/3ba213a5-5d29-4b28-99f9-93f3cb37266a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "prxy5605/3ba213a5-5d29-4b28-99f9-93f3cb37266a") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from prxy5605/3ba213a5-5d29-4b28-99f9-93f3cb37266a: direct link, hf CLI and curl.
- Browser
- Download file 332 MB
-
https://huggingface.co/prxy5605/3ba213a5-5d29-4b28-99f9-93f3cb37266a/resolve/main/adapter_model.bin
- Command line
-
hf download hf://prxy5605/3ba213a5-5d29-4b28-99f9-93f3cb37266a/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/prxy5605/3ba213a5-5d29-4b28-99f9-93f3cb37266a/resolve/main/adapter_model.bin
332 MB
- Xet hash:
- 2ee14ae8c54d076e5ae6f710c6b21dd40b78ae8bf5e329364e2875d96361a325
- Size of remote file:
- 332 MB
- SHA256:
- 24c9230c41e1dcdd3dddb8d0649b8baabe9c6fd32544e55b29225efaaf2703cf
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