nandi-gpt_model

Your Model Name

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-mul for translation from English to [Your Target Language].

Model description

[Provide a brief description of your model, what it does, and any specific features or improvements]

Intended uses & limitations

[Describe what the model is intended for and any limitations it may have]

Training data

[Describe the data you used to fine-tune the model]

Training procedure

[Briefly describe your training procedure, including any hyperparameters]

Evaluation results

[Provide any evaluation metrics or results]

How to use

Here's how you can use this model for translation:

from transformers import MarianMTModel, MarianTokenizer

model_name = "your-huggingface-username/your-model-name"
model = MarianMTModel.from_pretrained(model_name)
tokenizer = MarianTokenizer.from_pretrained(model_name)

input_text = "Hello, how are you?"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs)
translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(translated_text)

Limitations and bias

[Discuss any known limitations or biases in your model]

Training

The model was trained using the following command:

[Include a brief code snippet or description of how the model was trained]

Cite

[If applicable, provide citation information]

[Citation in BibTeX format]