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Browse files- app_dialogue.py +1 -1
app_dialogue.py
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@@ -340,7 +340,7 @@ with gr.Blocks(title="IDEFICS Playground", theme=gr.themes.Base()) as demo:
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with gr.Column(scale=5):
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gr.Markdown("""
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**EMBARGO UNTIL AUGUST 22ND** This demo showcases **IDEFICS**, a open-access large visual lanugage model. Like GPT-4, the multimodal model accepts arbitrary sequences of image and text inputs and produces text outputs. IDEFICS can answer questions about images, describe visual content, create stories grounded in multiple images, etc.
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<br>IDEFICS (which stans for **I**mage-aware **D**ecoder **E**nhanced à la **F**lamingo with **I**nterleaved **C**ross-attention**S**) is an open-access reproduction of [Flamingo](https://huggingface.co/papers/2204.14198), a closed-source visual language model developed by Deepmind. IDEFICS was built solely on publicly available data and models. It is currently the only visual language model of this scale available in open-access.
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📚 The variants available in this demo were fine-tuned on a mixture of supervised and instruction fine-tuning to make the models more suitable in conversational settings. For more details, we refer to our [blog post](https://huggingface.co/blog/idefics).
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with gr.Column(scale=5):
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gr.Markdown("""
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**EMBARGO UNTIL AUGUST 22ND** This demo showcases **IDEFICS**, a open-access large visual lanugage model. Like GPT-4, the multimodal model accepts arbitrary sequences of image and text inputs and produces text outputs. IDEFICS can answer questions about images, describe visual content, create stories grounded in multiple images, etc.
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<br>IDEFICS (which stans for **I**mage-aware **D**ecoder **E**nhanced à la **F**lamingo with **I**nterleaved **C**ross-attention**S**) is an open-access reproduction of [Flamingo](https://huggingface.co/papers/2204.14198), a closed-source visual language model developed by Deepmind. IDEFICS was built solely on publicly available data and models. It is currently the only visual language model of this scale (80 billion parameters range) available in open-access.
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📚 The variants available in this demo were fine-tuned on a mixture of supervised and instruction fine-tuning to make the models more suitable in conversational settings. For more details, we refer to our [blog post](https://huggingface.co/blog/idefics).
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