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--- |
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title: Qualitative Pretrained Model Evaluation |
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emoji: 🌍 |
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colorFrom: green |
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colorTo: yellow |
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sdk: streamlit |
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app_file: app.py |
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pinned: false |
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license: mit |
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--- |
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# Configuration |
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`title`: _string_ |
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Display title for the Space |
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`emoji`: _string_ |
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Space emoji (emoji-only character allowed) |
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`colorFrom`: _string_ |
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Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray) |
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`colorTo`: _string_ |
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Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray) |
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`sdk`: _string_ |
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Can be either `gradio`, `streamlit`, or `static` |
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`sdk_version` : _string_ |
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Only applicable for `streamlit` SDK. |
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See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions. |
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`app_file`: _string_ |
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Path to your main application file (which contains either `gradio` or `streamlit` Python code, or `static` html code). |
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Path is relative to the root of the repository. |
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`models`: _List[string]_ |
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HF model IDs (like "gpt2" or "deepset/roberta-base-squad2") used in the Space. |
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Will be parsed automatically from your code if not specified here. |
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`datasets`: _List[string]_ |
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HF dataset IDs (like "common_voice" or "oscar-corpus/OSCAR-2109") used in the Space. |
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Will be parsed automatically from your code if not specified here. |
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`pinned`: _boolean_ |
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Whether the Space stays on top of your list. |
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