Respair/Hayate_Translate_base_v1.0_JPtoEN

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "Respair/Hayate_Translate_base_v1.0_JPtoEN"
tokenizer = "Qwen/Qwen3-4B-Instruct-2507"

tokenizer = AutoTokenizer.from_pretrained(tokenizer)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype="auto",
    device_map="auto"
)

text = (

    # text

).replace('\n', ' ').strip()

prompt = "JP->EN: "

messages = [
    {"role": "user", "content": prompt + text}
]
text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True,
)
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)

generated_ids = model.generate(
    **model_inputs,
    max_new_tokens=8192,
    do_sample=True,
    temperature=0.1,
    top_p=0.95,
)
output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist() 

content = tokenizer.decode(output_ids, skip_special_tokens=True)

print(content)

Details

For more details, please visit Respair/Hayate_Translate_FT_EN2JP