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Create README.md

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+ Serialized with:
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+
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+ ```python
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+ import torch
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+ from transformers import CLIPTextConfig, CLIPTextModelWithProjection
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+
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+ def get_dummy_components():
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+ clip_text_encoder_config = CLIPTextConfig(
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+ bos_token_id=0,
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+ eos_token_id=2,
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+ hidden_size=32,
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+ intermediate_size=37,
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+ layer_norm_eps=1e-05,
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+ num_attention_heads=4,
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+ num_hidden_layers=5,
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+ pad_token_id=1,
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+ vocab_size=1000,
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+ hidden_act="gelu",
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+ projection_dim=32,
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+ )
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+
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+ torch.manual_seed(0)
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+ text_encoder = CLIPTextModelWithProjection(clip_text_encoder_config)
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+
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+ torch.manual_seed(0)
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+ text_encoder_2 = CLIPTextModelWithProjection(clip_text_encoder_config)
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+
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+ return text_encoder, text_encoder_2
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+
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+
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+ text_encoder, text_encoder_2 = get_dummy_components()
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+ text_encoder.push_to_hub("hf-internal-testing/tiny-sd3-text_encoder")
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+ text_encoder_2.push_to_hub("hf-internal-testing/tiny-sd3-text_encoder-2")
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+ ```