ehristoforu commited on
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Update app.py

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  1. app.py +2 -2
app.py CHANGED
@@ -13,13 +13,13 @@ DEFAULT_MAX_NEW_TOKENS = 1024
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  MAX_INPUT_TOKEN_LENGTH = 4000
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  DESCRIPTION = """
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- # Zephyr-7b Chat
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  πŸ’» This Space demonstrates model [Zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) by HuggingFaceH4, a Zephyr model with 7B parameters fine-tuned for chat instructions and specialized on many tasks. Feel free to play with it, or duplicate to run generations without a queue! If you want to run your own service, you can also [deploy the model on Inference Endpoints](https://huggingface.co/inference-endpoints).
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  πŸ”Ž For more details about the Zephyr family of models and how to use them with `transformers`, take a look [at our blog post](https://huggingface.co/blog/zephyr).
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- πŸƒπŸ» Check out our [Playground](https://huggingface.co/spaces/HuggingFaceH4/zephyr-chat) for a super-fast code completion demo that leverages a streaming [inference endpoint](https://huggingface.co/inference-endpoints).
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  """
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  MAX_INPUT_TOKEN_LENGTH = 4000
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  DESCRIPTION = """
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+ # πŸͺ Zephyr-7b Chat
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  πŸ’» This Space demonstrates model [Zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) by HuggingFaceH4, a Zephyr model with 7B parameters fine-tuned for chat instructions and specialized on many tasks. Feel free to play with it, or duplicate to run generations without a queue! If you want to run your own service, you can also [deploy the model on Inference Endpoints](https://huggingface.co/inference-endpoints).
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  πŸ”Ž For more details about the Zephyr family of models and how to use them with `transformers`, take a look [at our blog post](https://huggingface.co/blog/zephyr).
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+ πŸƒπŸ» Check out our [Playground](https://huggingface.co/spaces/HuggingFaceH4/zephyr-chat) for a super-fast tasks completion demo that leverages a streaming [inference endpoint](https://huggingface.co/inference-endpoints).
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  """
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