Text2Text Generation
Transformers
Safetensors
English
encoder-decoder
Inference Endpoints
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  license: mit
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+ language:
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+ - en
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+
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+ tags:
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+ - text2text-generation
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+
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+ widget:
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+ - text: "Please answer to the following question. Who is going to be the next Ballon d'or?"
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+ example_title: "Question Answering"
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+ - text: "Q: Can Geoffrey Hinton have a conversation with George Washington? Give the rationale before answering."
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+ example_title: "Logical reasoning"
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+ - text: "Please answer the following question. What is the boiling point of Nitrogen?"
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+ example_title: "Scientific knowledge"
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+ - text: "Answer the following yes/no question. Can you write a whole Haiku in a single tweet?"
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+ example_title: "Yes/no question"
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+ - text: "Answer the following yes/no question by reasoning step-by-step. Can you write a whole Haiku in a single tweet?"
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+ example_title: "Reasoning task"
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+ - text: "Q: ( False or not False or False ) is? A: Let's think step by step"
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+ example_title: "Boolean Expressions"
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+ - text: "The square root of x is the cube root of y. What is y to the power of 2, if x = 4?"
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+ example_title: "Math reasoning"
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+ - text: "Premise: At my age you will probably have learned one lesson. Hypothesis: It's not certain how many lessons you'll learn by your thirties. Does the premise entail the hypothesis?"
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+ example_title: "Premise and hypothesis"
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+
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+ datasets:
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+ - Muennighoff/flan
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+ - Open-Orca/SlimOrca-Dedup
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+ - garage-bAInd/Open-Platypus
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+ - Weyaxi/HelpSteer-filtered
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+ - GAIR/lima
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+
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+
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  license: mit
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+
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+ # Model Card for the test-version of instructionBERT