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app.py
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@@ -14,7 +14,8 @@ Welcome to our Huggingface space, where you can explore the capabilities of TURN
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- **Powerful Architecture:** TURNA contains 1.1B parameters, and was pre-trained with an encoder-decoder architecture following the UL2 framework on 43B tokens from various domains.
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- **Diverse Training Data:** Our model is trained on a varied dataset of 43 billion tokens, covering a wide array of domains.
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- **Broad Applications:** TURNA is fine-tuned for a variety of generation and understanding tasks, including:
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- Paraphrasing
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- News title generation
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- Sentiment classification
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@@ -136,8 +137,8 @@ def turna(input, max_new_tokens, length_penalty,
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with gr.Blocks(theme="abidlabs/Lime") as demo:
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gr.Markdown("# TURNA
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gr.Image("images/turna-logo.png",
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gr.Markdown(DESCRIPTION)
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- **Powerful Architecture:** TURNA contains 1.1B parameters, and was pre-trained with an encoder-decoder architecture following the UL2 framework on 43B tokens from various domains.
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- **Diverse Training Data:** Our model is trained on a varied dataset of 43 billion tokens, covering a wide array of domains.
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- **Broad Applications:** TURNA is fine-tuned for a variety of generation and understanding tasks, including:
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- Summarization
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- Paraphrasing
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- News title generation
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- Sentiment classification
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with gr.Blocks(theme="abidlabs/Lime") as demo:
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gr.Markdown("# TURNA")
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gr.Image("images/turna-logo.png", width=100)
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gr.Markdown(DESCRIPTION)
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