pytorch transformer translation machine-translation NLP en te dataset:hima06varshini/english-telugu-parallel-corpus license:cc-by-4.0 region:us
---
datasets:
- hima06varshini/english-telugu-parallel-corpus
language:
- en
- te
license: cc-by-4.0
tags:
- translation
- machine-translation
- NLP
- pytorch
widget:
- text: Translate this sentence from English to Telugu
---
# **English-to-Telugu Translation Model** 🏆  

## **📌 Model Overview**  
This is a **Neural Machine Translation (NMT) model** trained to translate English sentences into Telugu using **Transformer-based architectures**.  

- ✅ **Handles complex sentence structures**  
- ✅ **Supports general & conversational language**  
- ✅ **Fine-tuned on English-Telugu parallel corpora**  

---

## **📖 How to Use the Model**  
You can load this model using **Hugging Face Transformers**:  

```python
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

model_name = "hima06varshini/english-to-telugu-translation"
token = "YOUR_ACCESS_TOKEN"  # Replace with your Hugging Face token if required

# Load Model & Tokenizer
model = AutoModelForSeq2SeqLM.from_pretrained(model_name, token=token)
tokenizer = AutoTokenizer.from_pretrained(model_name, token=token)

def translate(text):
    inputs = tokenizer(text, return_tensors="pt")
    outputs = model.generate(**inputs)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

# Example Translation
text = "Hello, how are you?"
print(translate(text))