manandey commited on
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Update app.py

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  1. app.py +4 -4
app.py CHANGED
@@ -13,12 +13,12 @@ st.markdown('''
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  Hi! This is the demo for the [flax sentence embeddings](https://huggingface.co/flax-sentence-embeddings) created for the **Flax/JAX community week 🤗**.
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  We trained three general-purpose flax-sentence-embeddings models: a **distilroberta base**, a **mpnet base** and a **minilm-l6**.
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- All were trained on all the dataset of the 1B+ train corpus with the v3 setup.
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- In addition, we trained 20 models focused on general-purpose, QuestionAnswering and Codesearch.
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- View our models here : https://huggingface.co/flax-sentence-embeddings
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- *To evaluate the [flax-sentence-embeddings](https://huggingface.co/flax-sentence-embeddings) Sentence Similarity models for Gender Bias based on stereotypical occupations, we created an evaluation set which can be found [here](https://huggingface.co/datasets/manandey/Gender_Bias_Evaluation)*
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  ''')
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  Hi! This is the demo for the [flax sentence embeddings](https://huggingface.co/flax-sentence-embeddings) created for the **Flax/JAX community week 🤗**.
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  We trained three general-purpose flax-sentence-embeddings models: a **distilroberta base**, a **mpnet base** and a **minilm-l6**.
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+ All were trained on all the datasets of the 1B+ train corpus with the v3 setup.
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+ In addition, we trained 20 models focused on general-purpose, QuestionAnswering and Code search.
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+ View our models here: https://huggingface.co/flax-sentence-embeddings
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+ To evaluate the [flax-sentence-embeddings](https://huggingface.co/flax-sentence-embeddings) Sentence Similarity models for Gender Bias based on stereotypical occupations, we created an evaluation set which can be found [here](https://huggingface.co/datasets/manandey/Gender_Bias_Evaluation)
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  ''')
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