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Phi-4-multimodal က အမြင်အာရုံပုံများ ဖတ်ပြီး ကုဒ်ဖန်တီးနိုင်ပါတယ်

Phi-4-multimodal မှာ ပုံဖတ်ခြင်းဆိုင်ရာ အရည်အချင်းတွေ ပြင်းထန်ပါတယ်။ Python ကို သုံးပြီး အောက်ပါ လုပ်ဆောင်ချက်တွေကို ပြုလုပ်ကြည့်ရအောင်။ ပုံက ChatGPT စာမျက်နှာတစ်ခု ဖြစ်ပါတယ်။

demo

နမူနာ ကုဒ်

import requests
import torch
from PIL import Image
import soundfile
from transformers import AutoModelForCausalLM, AutoProcessor, GenerationConfig,pipeline,AutoTokenizer

model_path = 'Your Phi-4-multimodal location'

kwargs = {}
kwargs['torch_dtype'] = torch.bfloat16

processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True)

model = AutoModelForCausalLM.from_pretrained(
    model_path,
    trust_remote_code=True,
    torch_dtype='auto',
    _attn_implementation='flash_attention_2',
).cuda()

generation_config = GenerationConfig.from_pretrained(model_path, 'generation_config.json')

user_prompt = '<|user|>'
assistant_prompt = '<|assistant|>'
prompt_suffix = '<|end|>'

prompt = f'{user_prompt}Can you generate HTML + JS code about this image <|image_1|> ? Please step by step {prompt_suffix}{assistant_prompt}'

image = Image.open("./demo.png")

inputs = processor(text=prompt, images=[image], return_tensors='pt').to('cuda:0')

generate_ids = model.generate(
    **inputs,
    max_new_tokens=4096,
    generation_config=generation_config,
)

generate_ids = generate_ids[:, inputs['input_ids'].shape[1] :]

response = processor.batch_decode(
    generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False
)[0]

print(response)

It seems like you are asking to translate the provided text into "mo." Could you clarify what "mo" refers to? Are you referring to a specific language, such as Maori, Mongolian, or something else? Let me know so I can assist you accurately!