Update README.md

README.md

@@ -11,16 +11,31 @@ widget:
 pipeline_tag: text2text-generation
 ---
 
-## Model Details
-- **Model Name**: English-Tamil-Translator
-- **Language**: Python
-- **Task**: Language Translation
+# English to Tamil Translation Model
 
-## How to Use
-1. **Install Package**:
-   ```bash
-    pip install -q -U transformers==4.38.0
-   ```
+This model translates English sentences into Tamil using a fine-tuned version of the Mr-Vicky-01/Fine_tune_english_to_tamil model available on the Hugging Face model hub. 
+
+## Usage
+
+To use this model, you can either directly use the Hugging Face `transformers` library or you can use the model via the Hugging Face inference API.
+
+
+### Model Information
+
+Training Details
+
+**This model has been fine-tuned for English to Tamil translation.**
+**Training Duration: Over 10 hours**
+**Loss Achieved: 0.7**
+**Model Architecture**
+**The model architecture is based on the Transformer architecture, specifically optimized for sequence-to-sequence tasks.**
+
+### Installation
+To use this model, you'll need to have the `transformers` library installed. You can install it via pip:
+
+### Via Transformers Library
+
+You can use this model in your Python code like this:
 
 ## Inference
 1. **How to use the model in our notebook**:
@@ -38,7 +53,7 @@ def language_translator(text):
     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!"
+text_to_translate = "i love coding"
 output = language_translator(text_to_translate)
 print(output)
 ```