Instructions to use sam2ai/nllb-1.3b-odia-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sam2ai/nllb-1.3b-odia-lora 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, "sam2ai/nllb-1.3b-odia-lora") - Transformers
How to use sam2ai/nllb-1.3b-odia-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sam2ai/nllb-1.3b-odia-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d44b5aba574ef442ce75aa2d6c3c03d8c44ee50704af323ee655559b50a2badd
- Size of remote file:
- 5.91 kB
- SHA256:
- 58bff52f76f0a04d251d356897bff779c9c41581729b8be442427a1f76020eef
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