Instructions to use astrid01052/test-guanaco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use astrid01052/test-guanaco with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("baseline/pretrain/llama2-13b") model = PeftModel.from_pretrained(base_model, "astrid01052/test-guanaco") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from astrid01052/test-guanaco: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/astrid01052/test-guanaco/resolve/main/adapter_model.bin
- Command line
-
hf download hf://astrid01052/test-guanaco/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/astrid01052/test-guanaco/resolve/main/adapter_model.bin
501 MB
- Xet hash:
- f6a6175f0d2f6885d0ea6c2b7281ec64fed4c57d0cbbe304c240e6167aa00aba
- Size of remote file:
- 501 MB
- SHA256:
- 4afc6cffeee58ca2f7b16cb42f03179daba057a2bffc01ef4a608eb19ef56a44
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