Instructions to use randomDude26/nllb_mktg_sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use randomDude26/nllb_mktg_sft with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-1.3B") model = PeftModel.from_pretrained(base_model, "randomDude26/nllb_mktg_sft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cf54625075652443471b3de526773fa649bff48c5f204307fce0eaba70a6825
- Size of remote file:
- 32.2 MB
- SHA256:
- 528dd799654a864c4bfd67c379cda7f293ba30eb0c0e14c0f43b2a392a674f0d
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