Model Card for Swamitucats/M2M100_Sanskrit_English

Model Details

Model Description

This model is fine-tuned from M2M100 for Sanskrit to English translation. It was trained on the Itihasa dataset, which contains translations from Sanskrit epics.

Example usage:

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

model = AutoModelForSeq2SeqLM.from_pretrained("Swamitucats/M2M100_Sanskrit_English")
tokenizer = AutoTokenizer.from_pretrained("Swamitucats/M2M100_Sanskrit_English")

sanskrit_text = "Your Sanskrit text here"
inputs = tokenizer(sanskrit_text, return_tensors="pt")
outputs = model.generate(**inputs)
english_translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(english_translation)

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Language(s) (NLP): ['sa', 'en']
License: mit
Finetuned from model [optional]: facebook/m2m100_418M

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How to Get Started with the Model

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Training Details

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Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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