Instructions to use Pretam/NIOS_Trilingual_Decoder_Biased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pretam/NIOS_Trilingual_Decoder_Biased 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, "Pretam/NIOS_Trilingual_Decoder_Biased") - Transformers
How to use Pretam/NIOS_Trilingual_Decoder_Biased with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Pretam/NIOS_Trilingual_Decoder_Biased", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d7f6eeff73027b03326a9aee6146d25fba4914bed4471e1d69bc69ed252789e
- Size of remote file:
- 5.33 kB
- SHA256:
- b1aef21c170dea1ff74d8ca0080f3f628809ef5bc7ac895de7fc736581881577
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