Update app.py

#4
by sayakpaul HF staff - opened
Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -239,7 +239,7 @@ def sepia(input_img):
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  title = "SegFormer(ADE20k) in TensorFlow"
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  description = """
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- This is demo TensorFlow SegFormer from πŸ€— `transformers` official package. The pre-trained model is optimized to segment scene specific images. We are **currently using ONNX model converted from the TensorFlow based SegFormer to improve the latency**. The average latency of an inference is **21** and **8** seconds for TensorFlow and ONNX converted models respectively (in Colab). Check out the [repository](https://github.com/deep-diver/segformer-tf-transformers) to find out how to make inference, finetune the model with custom dataset, and further information.
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  """
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  title = "SegFormer(ADE20k) in TensorFlow"
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  description = """
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+ This is demo TensorFlow SegFormer from πŸ€— `transformers` official package. The pre-trained model was trained to segment scene specific images. We are **currently using ONNX model converted from the TensorFlow based SegFormer to improve the latency**. The average latency of an inference is **21** and **8** seconds for TensorFlow and ONNX converted models respectively (in [Colab](https://github.com/deep-diver/segformer-tf-transformers/blob/main/notebooks/TFSegFormer_ONNX.ipynb)). Check out the [repository](https://github.com/deep-diver/segformer-tf-transformers) to find out how to make inference, finetune the model with custom dataset, and further information.
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  """
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