pytorch safetensors marian region:us
---
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---
# Your Model Name

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mul](https://huggingface.co/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:

```python
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:

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

## Cite

[If applicable, provide citation information]

```
[Citation in BibTeX format]
```