Instructions to use Pretam/XSA_MT_NIOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pretam/XSA_MT_NIOS 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/XSA_MT_NIOS") - Transformers
How to use Pretam/XSA_MT_NIOS with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Pretam/XSA_MT_NIOS", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a94ef6e39527db8be4d4bbd15083910a8dd6bd45c6ae4c188b9ad582bf089536
- Size of remote file:
- 9.46 MB
- SHA256:
- 6f90f1e1d1bad8a4f419897e7b29eca3f8182eafe30cc0856e0d3df64c645592
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.