loubnabnl HF staff commited on
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2b8f53a
1 Parent(s): 9e71daf

add models

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  1. app.py +1 -1
app.py CHANGED
@@ -56,7 +56,7 @@ with demo:
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  """<div style="text-align: center;"><h1> ⭐ Multilingual <span style='color: #e6b800;'>Code</span> Models <span style='color: #e6b800;'>Evaluation</span></h1></div>\
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  <br>\
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  <p>We compare performance of base multilingual code generation models on <a href="https://huggingface.co/datasets/openai_humaneval">HumanEval</a> benchmark and <a href="https://huggingface.co/datasets/nuprl/MultiPL-E">MultiPL-E</a>. Following the <a href="https://huggingface.co/spaces/optimum/llm-perf-leaderboard">🤗 Open LLM-Perf Leaderboard 🏋️</a>, we also measure throughput and provide\
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- information about the models. We only compare pre-trained multilingual code models <b>without instruction tuning</b>, that people can start from as base models for their trainings.</p>"""
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  )
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  with gr.Column():
 
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  """<div style="text-align: center;"><h1> ⭐ Multilingual <span style='color: #e6b800;'>Code</span> Models <span style='color: #e6b800;'>Evaluation</span></h1></div>\
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  <br>\
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  <p>We compare performance of base multilingual code generation models on <a href="https://huggingface.co/datasets/openai_humaneval">HumanEval</a> benchmark and <a href="https://huggingface.co/datasets/nuprl/MultiPL-E">MultiPL-E</a>. Following the <a href="https://huggingface.co/spaces/optimum/llm-perf-leaderboard">🤗 Open LLM-Perf Leaderboard 🏋️</a>, we also measure throughput and provide\
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+ information about the models. We only compare pre-trained multilingual code models, that people can start from as base models for their trainings.</p>"""
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  )
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  with gr.Column():