language:
- en
- ta license: cc-by-4.0 tags:
- translation
- tamil
- colloquial-tamil
- fine-tuned
- text-to-text
🔥 Example Usage
Load and test the model using Hugging Face Transformers:
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
# Load model and tokenizer
model_name = "aishu15/colloquial-tamil"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
# Function to translate text
def translate(text):
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs, max_length=128)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
# Example translations
test_sentences = [
"This is so beautiful",
"Bro, are you coming or not?",
"My mom is gonna kill me if I don't reach home now!"
]
for sentence in test_sentences:
print(f"English: {sentence}")
print(f"Colloquial Tamil: {translate(sentence)}\n")