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CPU Upgrade
Felix Marty
commited on
Commit
•
03f6f0b
1
Parent(s):
6629271
fix title?
Browse files
app.py
CHANGED
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@@ -55,15 +55,19 @@ def onnx_export(token: str, model_id: str, task: str) -> str:
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except Exception as e:
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return f"#### Error: {e}"
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DESCRIPTION = """
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<p align="center">
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<img src="https://huggingface.co/spaces/optimum/exporters/resolve/main/clean_hf_onnx.png"/>
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</p>
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This Space allows to automatically convert to ONNX 🤗 transformers models hosted on the Hugging Face Hub. It opens a PR on the target model, and it is up to the owner of the original model
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to merge the PR to allow people to leverage the ONNX standard to share and use the model on a wide range of devices!
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@@ -81,6 +85,7 @@ Note: in case the model to convert is larger than 2 GB, it will be saved in a su
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"""
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with gr.Blocks() as demo:
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gr.Markdown(DESCRIPTION)
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with gr.Column():
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except Exception as e:
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return f"#### Error: {e}"
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TTILE = """
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<div style="text-align: center; max-width: 700px; margin: 0 auto;">
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<img src="https://huggingface.co/spaces/optimum/exporters/resolve/main/clean_hf_onnx.png"/>
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<div>
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<h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;">
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Convert any PyTorch model to ONNX with 🤗 Optimum exporters 🏎️
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</h1>
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</div>
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</div>
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"""
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DESCRIPTION = """
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This Space allows to automatically convert to ONNX 🤗 transformers models hosted on the Hugging Face Hub. It opens a PR on the target model, and it is up to the owner of the original model
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to merge the PR to allow people to leverage the ONNX standard to share and use the model on a wide range of devices!
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"""
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with gr.Blocks() as demo:
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gr.HTML(TTILE)
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gr.Markdown(DESCRIPTION)
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with gr.Column():
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