Update README.md
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@@ -41,15 +41,15 @@ pip install -r requirement_gpu.txt
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#### Downloading trained models
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Please download the four pre-trained models (~1.1GB each) from the Google drive:
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Please download the four pre-trained models (~1.1GB each) from Google drive or Baidu netdisk:
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The 1-hour model: [model_jit_cpu_1.onnx](https://drive.google.com/file/d/1fg5jkiN_5dHzKb-5H9Aw4MOmfILmeY-S/view?usp=share_link)
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The 1-hour model (model_jit_cpu_1.onnx): [Google drive](https://drive.google.com/file/d/1fg5jkiN_5dHzKb-5H9Aw4MOmfILmeY-S/view?usp=share_link) [Baidu netdisk](https://pan.baidu.com/s/1M7SAigVsCSH8hpw6DE8TDQ?pwd=ie0h)
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The 3-hour model: [model_jit_cpu_3.onnx](https://drive.google.com/file/d/1EdoLlAXqE9iZLt9Ej9i-JW9LTJ9Jtewt/view?usp=share_link)
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The 3-hour model (model_jit_cpu_3.onnx): [Google drive](https://drive.google.com/file/d/1EdoLlAXqE9iZLt9Ej9i-JW9LTJ9Jtewt/view?usp=share_link) [Baidu netdisk](https://pan.baidu.com/s/197fZsoiCqZYzKwM7tyRrfg?pwd=gmcl)
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The 6-hour model: [model_jit_cpu_6.onnx](https://drive.google.com/file/d/1a4XTktkZa5GCtjQxDJb_fNaqTAUiEJu4/view?usp=share_link)
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The 6-hour model (model_jit_cpu_6.onnx): [Google drive](https://drive.google.com/file/d/1a4XTktkZa5GCtjQxDJb_fNaqTAUiEJu4/view?usp=share_link) [Baidu netdisk](https://pan.baidu.com/s/1q7IB7tNjqIwoGC7KVMPn4w?pwd=vxq3)
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The 24-hour model: [model_jit_cpu_24.onnx](https://drive.google.com/file/d/1lweQlxcn9fG0zKNW8ne1Khr9ehRTI6HP/view?usp=share_link)
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The 24-hour model (model_jit_cpu_24.onnx): [Google drive](https://drive.google.com/file/d/1lweQlxcn9fG0zKNW8ne1Khr9ehRTI6HP/view?usp=share_link) [Baidu netdisk](https://pan.baidu.com/s/179q2gkz2BrsOR6g3yfTVQg?pwd=eajy)
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These models are stored using the ONNX format, and thus can be used via different languages such as Python, C++, C#, Java, etc.
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@@ -69,11 +69,11 @@ We support ERA5 initial fields and ECMWF initial fields (e.g., the initial field
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We temporarily do not support other kinds of initial fields due to the possibly dramatic differences in the fields when Z<0.
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We provide an example of transferred input files, `input_surface.npy` and `input_upper.npy`, which correspond to the ERA5 initial fields of at 12:00UTC, 2018/09/27. Please download them using Google drive:
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We provide an example of transferred input files, `input_surface.npy` and `input_upper.npy`, which correspond to the ERA5 initial fields of at 12:00UTC, 2018/09/27. Please download them from Google drive or Baidu netdisk:
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[`input_surface.npy`](https://drive.google.com/file/d/1pj8QEVNpC1FyJfUabDpV4oU3NpSe0BkD/view?usp=share_link)
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`input_surface.npy`: [Google drive](https://drive.google.com/file/d/1pj8QEVNpC1FyJfUabDpV4oU3NpSe0BkD/view?usp=share_link) [Baidu netdisk](https://pan.baidu.com/s/1i4o5i8guAqmOus6PWncAlA?pwd=4z9s)
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[`input_upper.npy`](https://drive.google.com/file/d/1--7xEBJt79E3oixizr8oFmK_haDE77SS/view?usp=share_link)
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`input_upper.npy`: [Google drive](https://drive.google.com/file/d/1--7xEBJt79E3oixizr8oFmK_haDE77SS/view?usp=share_link) [Baidu netdisk] (https://pan.baidu.com/s/1mS8X5MqEdbVfF2u2Us62FQ?pwd=sgx6)
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#### Inference
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