Update: README
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README.md
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<h1>A GPT-4o Level MLLM for Single Image, Multi Image and High-FPS Video Understanding on Your Phone</h1>
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print(new_text, flush=True, end='')
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# Second round chat, pass history context of multi-turn conversation
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msgs.append({"role": "assistant", "content": [
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msgs.append({"role": "user", "content": ["What should I pay attention to when traveling here?"]})
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answer = model.chat(
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pipeline_tag: image-text-to-text
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datasets:
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- openbmb/RLAIF-V-Dataset
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library_name: transformers
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language:
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- multilingual
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tags:
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- minicpm-v
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- vision
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- ocr
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- multi-image
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- video
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- custom_code
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---
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<h1>A GPT-4o Level MLLM for Single Image, Multi Image and High-FPS Video Understanding on Your Phone</h1>
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print(new_text, flush=True, end='')
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# Second round chat, pass history context of multi-turn conversation
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msgs.append({"role": "assistant", "content": [generated_text]})
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msgs.append({"role": "user", "content": ["What should I pay attention to when traveling here?"]})
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answer = model.chat(
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