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:
1from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
2
3model = AutoModelForSeq2SeqLM.from_pretrained("Swamitucats/M2M100_Sanskrit_English")
4tokenizer = AutoTokenizer.from_pretrained("Swamitucats/M2M100_Sanskrit_English")
5
6sanskrit_text = "Your Sanskrit text here"
7inputs = tokenizer(sanskrit_text, return_tensors="pt")
8outputs = model.generate(**inputs)
9english_translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
10print(english_translation)
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- Language(s) (NLP): ['sa', 'en']
- License: mit
- Finetuned from model [optional]: facebook/m2m100_418M
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Training Details
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