Instructions to use LoftQ/bart-large-bit2-rank32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LoftQ/bart-large-bit2-rank32 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-rank32") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffc9fa1087035cdbbace048caeb8f150db1634ef09ea2fdc0870bb608622df3c
- Size of remote file:
- 69.3 MB
- SHA256:
- fd6e0dab834e5dfe25688130ee5d6109965eeb2963e424f9953aadd90b414a87
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