Spaces:
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John Graham Reynolds
commited on
Commit
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86d85c0
1
Parent(s):
ec439ff
update model card reference
Browse files
app.py
CHANGED
@@ -20,7 +20,7 @@ EXAMPLE_PROMPTS = [
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TITLE = "CyberSolve LinAlg 1.2"
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DESCRIPTION= """Welcome to the 🤖CyberSolve LinAlg 1.2🧠 demo! \n
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**Overview and Usage**: This 🤗 Space is designed to demo the abilities of the **CyberSolve LinAlg 1.2** text-to-text language model.
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Specifically, the **CyberSolve LinAlg 1.x** family of models
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are downstream versions of the 783M parameter FLAN-T5 text-to-text transformer, fine-tuned on the Google DeepMind Mathematics dataset for the purpose of solving linear equations of a single variable.
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@@ -54,11 +54,12 @@ QUEUE_SIZE = 20 # maximize this value for adding enough places in the global que
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# global_semaphore = get_global_semaphore()
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st.set_page_config(layout="wide")
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url = "https://huggingface.co/MarioBarbeque/CyberSolve-LinAlg-1.2"
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st.title(TITLE)
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st.image("calabi_yau.jpeg", caption="Teaching AI to understand Mathematics", width=400) # TODO add a Vanderbilt related picture to the head of our Space!
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st.markdown(DESCRIPTION % url)
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st.markdown("\n")
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# use this to format later
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TITLE = "CyberSolve LinAlg 1.2"
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DESCRIPTION= """Welcome to the 🤖CyberSolve LinAlg 1.2🧠 demo! \n
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**Overview and Usage**: This 🤗 Space is designed to demo the abilities of the **CyberSolve LinAlg 1.2** text-to-text language model. Model card: *MarioBarbeque/CyberSolve-LinAlg-1.2*
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Specifically, the **CyberSolve LinAlg 1.x** family of models
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are downstream versions of the 783M parameter FLAN-T5 text-to-text transformer, fine-tuned on the Google DeepMind Mathematics dataset for the purpose of solving linear equations of a single variable.
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# global_semaphore = get_global_semaphore()
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st.set_page_config(layout="wide")
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# url = "https://huggingface.co/MarioBarbeque/CyberSolve-LinAlg-1.2"
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st.title(TITLE)
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st.image("calabi_yau.jpeg", caption="Teaching AI to understand Mathematics", width=400) # TODO add a Vanderbilt related picture to the head of our Space!
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# st.markdown(DESCRIPTION % url)
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st.markdown(DESCRIPTION)
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st.markdown("\n")
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# use this to format later
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