Edit model card

This model was converted to OpenVINO from Qwen/Qwen2.5-0.5B-Instruct using optimum-intel via the export space.

First make sure you have optimum-intel installed:

pip install optimum[openvino]

To load your model you can do as follows: In huggingface space app.py

import gradio as gr
from huggingface_hub import InferenceClient
from optimum.intel import OVModelForCausalLM
from transformers import AutoTokenizer, pipeline

# 載入模型和標記器
model_id = "HelloSun/Qwen2.5-0.5B-Instruct-openvino"
model = OVModelForCausalLM.from_pretrained(model_id)
tokenizer = AutoTokenizer.from_pretrained(model_id)

# 建立生成管道
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)

def respond(message, history):
    # 將當前訊息與歷史訊息合併
    #input_text = message if not history else history[-1]["content"] + " " + message
    input_text = message
    # 獲取模型的回應
    response = pipe(input_text, max_length=500, truncation=True, num_return_sequences=1)
    reply = response[0]['generated_text']
    
    # 返回新的消息格式
    print(f"Message: {message}")
    print(f"Reply: {reply}")
    return reply
    
# 設定 Gradio 的聊天界面
demo = gr.ChatInterface(fn=respond, title="Chat with Qwen(通義千問) 2.5-0.5B", description="與 HelloSun/Qwen2.5-0.5B-Instruct-openvino 聊天!", type='messages')

if __name__ == "__main__":
    demo.launch()

requirements.txt

huggingface_hub==0.25.2
optimum[openvino]
Downloads last month
654
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for HelloSun/Qwen2.5-0.5B-Instruct-openvino

Base model

Qwen/Qwen2.5-0.5B
Finetuned
(62)
this model

Space using HelloSun/Qwen2.5-0.5B-Instruct-openvino 1