Instructions to use DataAttributionEval/Pythia-1b-XSTest-response-Hom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DataAttributionEval/Pythia-1b-XSTest-response-Hom with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-1b") model = PeftModel.from_pretrained(base_model, "DataAttributionEval/Pythia-1b-XSTest-response-Hom") - Notebooks
- Google Colab
- Kaggle
Download optimizer.bin from DataAttributionEval/Pythia-1b-XSTest-response-Hom: direct link, hf CLI and curl.
- Browser
- Download file 8.42 MB
-
https://huggingface.co/DataAttributionEval/Pythia-1b-XSTest-response-Hom/resolve/main/optimizer.bin
- Command line
-
hf download hf://DataAttributionEval/Pythia-1b-XSTest-response-Hom/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/DataAttributionEval/Pythia-1b-XSTest-response-Hom/resolve/main/optimizer.bin
8.42 MB
- Xet hash:
- 7f65378c2c46a44a585b1ae200ba4bee8b9af71759fa4c9b06f9e5fa867a1729
- Size of remote file:
- 8.42 MB
- SHA256:
- 12ad4271d65db3255632889712fb55b1e21ce6ce732b79ba2fbe9333b0e691d3
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