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## 📥 Download Pretrained Models
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You can easily get all pretrained models required by inference from our [HuggingFace repo](https://huggingface.co/BAAI/
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Using `huggingface-cli` to download the models:
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```shell
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cd $ProjectRootDir
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pip install "huggingface_hub[cli]"
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huggingface-cli download BAAI/
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```
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Or you can download them separately from their source repo:
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- [mtv](https://huggingface.co/BAAI/
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- [t5-v1_1-xxl](https://huggingface.co/google/t5-v1_1-xxl): text encoder, you can download from [text_encoder](https://huggingface.co/THUDM/CogVideoX-2b/tree/main/text_encoder) and [tokenizer](https://huggingface.co/THUDM/CogVideoX-2b/tree/main/tokenizer)
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- [vae](https://huggingface.co/THUDM/CogVideoX1.5-5B-SAT/tree/main/vae): Cogvideox-5b pretrained 3d vae
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- [wav2vec](https://huggingface.co/facebook/wav2vec2-base-960h): wav audio to vector model from [Facebook](https://huggingface.co/facebook/wav2vec2-base-960h)
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## 📥 Download Pretrained Models
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You can easily get all pretrained models required by inference from our [HuggingFace repo](https://huggingface.co/BAAI/MTVCraft).
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Using `huggingface-cli` to download the models:
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```shell
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cd $ProjectRootDir
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pip install "huggingface_hub[cli]"
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huggingface-cli download BAAI/MTVCraft --local-dir ./pretrained_models
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```
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Or you can download them separately from their source repo:
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- [mtv](https://huggingface.co/BAAI/MTVCraft/tree/main/mtv): Our checkpoints
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- [t5-v1_1-xxl](https://huggingface.co/google/t5-v1_1-xxl): text encoder, you can download from [text_encoder](https://huggingface.co/THUDM/CogVideoX-2b/tree/main/text_encoder) and [tokenizer](https://huggingface.co/THUDM/CogVideoX-2b/tree/main/tokenizer)
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- [vae](https://huggingface.co/THUDM/CogVideoX1.5-5B-SAT/tree/main/vae): Cogvideox-5b pretrained 3d vae
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- [wav2vec](https://huggingface.co/facebook/wav2vec2-base-960h): wav audio to vector model from [Facebook](https://huggingface.co/facebook/wav2vec2-base-960h)
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