---
{}
---
#### Typhoon Translate

```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model_id = "scb10x/Typhoon-translate-4b"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.bfloat16,
    device_map="auto",
)

### Translate Thai to English
# messages = [
#     {"role": "system", "content": "Translate the following text into English."},
#     {"role": "user", "content": "ขอสูตรไก่ย่าง"},
# ]

### Translate English to Thai
messages = [
    {"role": "system", "content": "Translate the following text into Thai."},
    {"role": "user", "content": "Hello, how are you?"},
]

input_ids = tokenizer.apply_chat_template(
    messages,
    add_generation_prompt=True,
    return_tensors="pt",
).to(model.device)

outputs = model.generate(
    input_ids,
    max_new_tokens=512,
    do_sample=True,
    temperature=0.3,
)
response = outputs[0][input_ids.shape[-1]:]
print(tokenizer.decode(response, skip_special_tokens=True))

```