Upload README.md

README.md

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+# **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**  
+
 ---
-license: cc-by-4.0
----
+
+## **📖 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))