Instructions to use sam2ai/nllb-600m-odia-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sam2ai/nllb-600m-odia-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-distilled-600M") model = PeftModel.from_pretrained(base_model, "sam2ai/nllb-600m-odia-lora") - Transformers
How to use sam2ai/nllb-600m-odia-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sam2ai/nllb-600m-odia-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 857bdff20b62d92dd67b579c0769cfdf7f787337a9441f4ba62883c115559cce
- Size of remote file:
- 19 MB
- SHA256:
- 30f9eb8b8a2c4a56fc3db0c942b0dd7dd4c38d73e8e7c9345b7d8b941ed06719
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