Update README.md

README.md

@@ -9,23 +9,6 @@ This is a translation model based on the MT5 architecture. It has been fine-tune
 ## Model Details
 
 - **Architecture:** MT5
-- **Model Size:** 582M parameters
 - **File Format:** safetensors
-- **Tensor Type:** F32
 
-## Example Usage
 
-You can use the model with the Hugging Face Transformers library:
-
-```python
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
-
-tokenizer = AutoTokenizer.from_pretrained("TristanN01/VEC-MT5")
-model = AutoModelForSeq2SeqLM.from_pretrained("TristanN01/VEC-MT5")
-
-input_text = "Translate this sentence from English to Thai."
-inputs = tokenizer(input_text, return_tensors="pt")
-
-outputs = model.generate(**inputs)
-translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
-print(translated_text)