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Browse files- app.py +4 -2
- src/about.py +4 -4
app.py
CHANGED
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@@ -320,7 +320,8 @@ with demo:
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leaderboard_table,
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queue=True,
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)
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-
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with gr.TabItem("📈 ROC/PR Curves", elem_id="llm-benchmark-tab-table", id=2):
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with gr.Row():
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with gr.Column():
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@@ -345,7 +346,8 @@ with demo:
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with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=3):
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gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
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-
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with gr.TabItem("🚀 Submit here! ", elem_id="llm-benchmark-tab-table", id=4):
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with gr.Column():
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with gr.Row():
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leaderboard_table,
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queue=True,
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)
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+
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+
"""
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with gr.TabItem("📈 ROC/PR Curves", elem_id="llm-benchmark-tab-table", id=2):
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with gr.Row():
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with gr.Column():
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with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=3):
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gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
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+
"""
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+
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with gr.TabItem("🚀 Submit here! ", elem_id="llm-benchmark-tab-table", id=4):
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with gr.Column():
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with gr.Row():
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src/about.py
CHANGED
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@@ -64,9 +64,9 @@ EVALUATION_QUEUE_TEXT = """
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### 1) Make sure you can load your model and tokenizer using AutoClasses:
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```python
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from transformers import AutoConfig,
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config = AutoConfig.from_pretrained("your model name", revision=revision)
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model =
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tokenizer = AutoTokenizer.from_pretrained("your model name", revision=revision)
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```
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If this step fails, follow the error messages to debug your model before submitting it. It's likely your model has been improperly uploaded.
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@@ -78,7 +78,7 @@ Note: if your model needs `use_remote_code=True`, we do not support this option
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It's a new format for storing weights which is safer and faster to load and use. It will also allow us to add the number of parameters of your model to the `Extended Viewer`!
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### 3) Make sure your model has an open license!
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-
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### 4) Fill up your model card
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When we add extra information about models to the leaderboard, it will be automatically taken from the model card
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@@ -86,7 +86,7 @@ When we add extra information about models to the leaderboard, it will be automa
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## In case of model failure
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If your model is displayed in the `FAILED` category, its execution stopped.
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Make sure you have followed the above steps first.
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If everything is done,
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"""
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CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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### 1) Make sure you can load your model and tokenizer using AutoClasses:
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```python
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from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer
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config = AutoConfig.from_pretrained("your model name", revision=revision)
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model = AutoModelForCausalLM.from_pretrained("your model name", revision=revision)
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tokenizer = AutoTokenizer.from_pretrained("your model name", revision=revision)
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```
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If this step fails, follow the error messages to debug your model before submitting it. It's likely your model has been improperly uploaded.
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It's a new format for storing weights which is safer and faster to load and use. It will also allow us to add the number of parameters of your model to the `Extended Viewer`!
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### 3) Make sure your model has an open license!
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We'd love for as many people as possible to know they can use your model 🤗
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### 4) Fill up your model card
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When we add extra information about models to the leaderboard, it will be automatically taken from the model card
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## In case of model failure
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If your model is displayed in the `FAILED` category, its execution stopped.
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Make sure you have followed the above steps first.
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If everything is done, feel free to open a new discussion on the Hugging Face space.
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"""
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CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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