Instructions to use LoftQ/bart-large-bit2-rank16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LoftQ/bart-large-bit2-rank16 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large") model = PeftModel.from_pretrained(base_model, "LoftQ/bart-large-bit2-rank16") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from LoftQ/bart-large-bit2-rank16: direct link, hf CLI and curl.
- Browser
- Download file 34.7 MB
-
https://huggingface.co/LoftQ/bart-large-bit2-rank16/resolve/main/adapter_model.bin
- Command line
-
hf download hf://LoftQ/bart-large-bit2-rank16/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/LoftQ/bart-large-bit2-rank16/resolve/main/adapter_model.bin
34.7 MB
- Xet hash:
- 5d4a44b6111f03c2587ba60968d2968b04d202b9a6fd783db4eb21bf259b65e2
- Size of remote file:
- 34.7 MB
- SHA256:
- c2634d986e1bb79e7259fa648a5ffb92079535765f754b218d75558da215b328
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