Update README.md

README.md

@@ -1,3 +1,48 @@
 ---
 license: mit
 ---
+---
+license: mit
+datasets: Hemanth-thunder/en_ta
+language:
+- ta
+- en
+widget:
+- text: Actor Vijay is competing an 2026 election.
+- text: you have to study well for exams
+- text: The Sun is approximately 4.6 billion years older than Earth.
+pipeline_tag: text2text-generation
+---
+
+## Model Details
+- **Model Name**: English-Tamil-Translator
+- **Model Type**: Deep Learning Model
+- **Language**: Python
+- **Task**: Language Translation
+
+## How to Use
+1. **Install Gemma Python Package**:
+   ```bash
+    pip install -q -U transformers==4.38.0
+   ```
+
+## Inference
+1. **How to use the model in our notebook**:
+```python
+# Load model directly
+import torch
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+checkpoint = "Mr-Vicky-01/English-Tamil-Translator"
+tokenizer = AutoTokenizer.from_pretrained(checkpoint)
+model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint)
+
+def language_translator(text):
+    tokenized = tokenizer([text], return_tensors='pt')
+    out = model.generate(**tokenized, max_length=128)
+    return tokenizer.decode(out[0],skip_special_tokens=True)
+
+text_to_translate = "i have to play football now!"
+output = language_translator(text_to_translate)
+print(output)
+```