Hugging Face 모델 실행

Hugging Face 활용하기

Jacob H. Marquez

Lead Data Engineer

Hugging Face로 추론하기

추론.jpg

로컬 추론

로컬_추론.png

Inference 제공자

Inference_제공자.png

¹ https://huggingface.co/docs/inference-providers/en/index

Hugging Face로 추론하기

로컬 추론

🆓 무료
😃 편리함
😴 느리고 리소스 많이 사용

Inference 제공자

💨 빠름
🆓 시작은 무료

¹ https://huggingface.co/docs/inference-providers/en/index

Transformers 라이브러리 소개

사전 학습 모델 작업을 간소화합니다

¹ https://github.com/huggingface/transformers

파이프라인

from transformers import pipeline


gpt2_pipeline = pipeline(task="text-generation", model="openai-community/gpt2")


print(gpt2_pipeline("What if AI"))

[{'generated_text': 'What if AI wouldn\'t be used?"\n\nI had to agree with your
  theory. If a machine\'s learning algorithm is a perfect match for all of a
  human\'s needs, then you may not have a problem with it. My problem was whether'}]

¹ Model Card: https://huggingface.co/openai-community/gpt2

파이프라인 매개변수 조정

from transformers import pipeline

gpt2_pipeline = pipeline(task="text-generation", model="openai-community/gpt2")


results = gpt2_pipeline("What if AI", max_new_tokens=10, num_return_sequences=2)


for result in results:
    print(result['generated_text'])

What if AI had never existed?  
What if AI could be really smarter than us?

Inference 제공자 사용

import os
from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="together",
    api_key=os.environ["HF_TOKEN"],
)

¹ https://huggingface.co/docs/inference-providers/en/index

completion = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V3",
    messages=[
        {
            "role": "user",
            "content": "What is the capital of France?"
        }
    ],
)

¹ https://huggingface.co/docs/inference-providers/en/index

print(completion.choices[0].message)

The capital of France is **Paris**. It is known for its iconic landmarks such as
the Eiffel Tower, the Louvre Museum, and Notre-Dame Cathedral.  

Would you like any additional information about Paris or France?

Ayo berlatih!

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