91 lines
2.1 KiB
Markdown
91 lines
2.1 KiB
Markdown
---
|
||
license: apache-2.0
|
||
language:
|
||
- en
|
||
- fa
|
||
tags:
|
||
- translation
|
||
- english-to-persian
|
||
- persian-to-english
|
||
- bilingual
|
||
- farsi
|
||
- persian
|
||
model_type: llama
|
||
base_model: meta-llama/Llama-3.2-1B
|
||
pipeline_tag: text-generation
|
||
library: transformers
|
||
widget:
|
||
- text: |
|
||
### English:
|
||
The children were playing in the park.
|
||
### Persian:
|
||
- text: |
|
||
### Persian:
|
||
من به مدرسه میروم.
|
||
### English:
|
||
---
|
||
|
||
[](https://huggingface.co/spaces/Sheikhaei/llama-3.2-1b-english-persian-translator)
|
||
|
||
|
||
# LLaMA 3.2 1B – English ↔ Persian Translator
|
||
|
||
This model is a fine-tuned version of [`meta-llama/Llama-3.2-1B`](https://huggingface.co/meta-llama/Llama-3.2-1B), trained for **bidirectional translation** between **English and Persian**. It supports both:
|
||
|
||
- 🇬🇧 English → 🇮🇷 Persian
|
||
- 🇮🇷 Persian → 🇬🇧 English
|
||
|
||
---
|
||
|
||
## Format
|
||
|
||
The model expects prompts in the following format:
|
||
|
||
```
|
||
### English:
|
||
The children were playing in the park.
|
||
### Persian:
|
||
```
|
||
or
|
||
|
||
```
|
||
### Persian:
|
||
کودکان در پارک بازی میکردند.
|
||
### English:
|
||
```
|
||
---
|
||
|
||
## Usage
|
||
|
||
```python
|
||
from transformers import AutoModelForCausalLM, AutoTokenizer
|
||
|
||
model = AutoModelForCausalLM.from_pretrained("Sheikhaei/llama-3.2-1b-en-fa-translator", torch_dtype="auto", device_map="auto")
|
||
tokenizer = AutoTokenizer.from_pretrained("Sheikhaei/llama-3.2-1b-en-fa-translator")
|
||
|
||
prompt = """### English:
|
||
The children were playing in the park.
|
||
### Persian:
|
||
"""
|
||
|
||
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
|
||
outputs = model.generate(**inputs, max_new_tokens=100, do_sample=False)
|
||
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
|
||
```
|
||
|
||
## Training Data
|
||
|
||
This model was fine-tuned on a custom English–Persian parallel dataset containing ~640,000 sentence pairs. The source data was collected from Tatoeba and then translated and expanded using the Gemma-3-12B model.
|
||
|
||
## Evaluation
|
||
|
||
| Direction | BLEU | COMET |
|
||
|---------------|------|------|
|
||
| English → Persian | 0.47 | 0.89 |
|
||
| Persian → English | 0.58 | 0.91 |
|
||
|
||
## License
|
||
|
||
Apache 2.0
|
||
|