suriya7/English-to-Tamil

English to Tamil Translation Model

This model translates English sentences into Tamil using a fine-tuned version of the Mr-Vicky available on the HF中国镜像站 model hub.

About the Authors

This model was developed by suriya7 in collaboration with Mr-Vicky.

Usage

To use this model, you can either directly use the HF中国镜像站 transformers library or you can use the model via the HF中国镜像站 inference API.

Model Information

Training Details

• This model has been fine-tuned for English to Tamil translation.
• Training Duration: Over 10 hours
• Loss Achieved: 0.6
• 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:

pip install transformers

Via Transformers Library

You can use this model in your Python code like this:

Inference

1. How to use the model in our notebook:

# Load model directly
import torch
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

checkpoint = "suriya7/English-to-Tamil"
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 = "hardwork never fail"
output = language_translator(text_to_translate)
print(output)