Instructions to use chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88 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, "chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88: direct link, hf CLI and curl.
- Browser
- Download file 41.7 MB
-
https://huggingface.co/chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88/resolve/770e50470e4a3b6a4f09a4f3e4443bae79badfc8/adapter_model.bin
- Command line
-
hf download hf://chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88@770e50470e4a3b6a4f09a4f3e4443bae79badfc8/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88/resolve/770e50470e4a3b6a4f09a4f3e4443bae79badfc8/adapter_model.bin
41.7 MB
- Xet hash:
- 3c84519a4ee4ccf661ea4d8fc38a3fdbf0e8881442ac8530bf3e25cd7d8d4bae
- Size of remote file:
- 41.7 MB
- SHA256:
- a211e025db88a2f5da7b38af717beaa08642968c14646b3e20a7c31b798a8e4e
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