Instructions to use DataAttributionEval/Pythia-1b-ToxicChat-Het with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DataAttributionEval/Pythia-1b-ToxicChat-Het 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-ToxicChat-Het") - Notebooks
- Google Colab
- Kaggle
Download optimizer.bin from DataAttributionEval/Pythia-1b-ToxicChat-Het: direct link, hf CLI and curl.
- Browser
- Download file 8.42 MB
-
https://huggingface.co/DataAttributionEval/Pythia-1b-ToxicChat-Het/resolve/main/optimizer.bin
- Command line
-
hf download hf://DataAttributionEval/Pythia-1b-ToxicChat-Het/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/DataAttributionEval/Pythia-1b-ToxicChat-Het/resolve/main/optimizer.bin
8.42 MB
- Xet hash:
- dacf615959e1b52c267793ce85e7c2b562a2045b22286edff33ac78a1b7e36f9
- Size of remote file:
- 8.42 MB
- SHA256:
- ec92f36bcd4d4578acc7b250536b7ff5b95390ae706a9a5f4308d4837a079311
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