Model Details
Full Model IDkrpraveen/sanskrit-en-custom-transformer
Pipeline / Tasktranslation
Library—
Downloads (all-time)985
Likes0
Last Modified7/4/2026
Author / Orgkrpraveen
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("translation", model="krpraveen/sanskrit-en-custom-transformer")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
pytorchtranslationsanskritnmtfrom-scratchsaenlicense:mitregion:us
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🌐 Task: Translation
This model is designed for the Translation task. Explore more models for this use case.
All Translation Models →📊 Popularity
⬇ Downloads985
❤️ Community Likes0
🛠️ Requirements
- →Check docs for installation steps.
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.