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---
language:
- en
- te
tags:
- translation
- machine-translation
- NLP
- pytorch
license: "MIT"
datasets:
- hima06varshini/english-telugu-parallel-corpus
widget:
- text: "Hello, how are you?"
---
# 🏆 English-to-Telugu Translation Model
This model translates **English** text into **Telugu** using a Transformer-based approach.
## 📂 Model Details
- **Model Name**: `hima06varshini/english-to-telugu-translation`
- **Developed by**: Y. Himavarshini
- **License**: MIT License
## 🚀 Usage
```python
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
model_name = "hima06varshini/english-to-telugu-translation"
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
def translate(text):
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
print(translate("Hello, how are you?")) |