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---
language:
- en
- te
tags:
- translation
- machine-translation
- NLP
- pytorch
license: "cc-by-4.0"
datasets:
- hima06varshini/english-telugu-parallel-corpus
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)) |