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TCL606 authored Sep 24, 2024
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Expand Up @@ -52,7 +52,7 @@ Here are some examples of SALMONN.
For SALMONN-13B v1, you need to use the following dependencies:
1. Our environment: The python version is 3.9.17, and other required packages can be installed with the following command: ```pip install -r requirements.txt```.
2. Download [whisper large v2](https://huggingface.co/openai/whisper-large-v2/tree/main) to ```whisper_path```.
3. Download [Fine-tuned BEATs_iter3+ (AS2M) (cpt2)](https://valle.blob.core.windows.net/share/BEATs/BEATs_iter3_plus_AS2M_finetuned_on_AS2M_cpt2.pt?sv=2020-08-04&st=2023-03-01T07%3A51%3A05Z&se=2033-03-02T07%3A51%3A00Z&sr=c&sp=rl&sig=QJXmSJG9DbMKf48UDIU1MfzIro8HQOf3sqlNXiflY1I%3D) to `beats_path`.
3. Download [Fine-tuned BEATs_iter3+ (AS2M) (cpt2)](https://onedrive.live.com/?authkey=%21APLo1x9WFLcaKBI&id=6B83B49411CA81A7%2125955&cid=6B83B49411CA81A7&parId=root&parQt=sharedby&o=OneUp) to `beats_path`.
4. Download [vicuna 13B v1.1](https://huggingface.co/lmsys/vicuna-13b-v1.1/tree/main) to ```llama_path```.
5. Running with ```python3 train.py --cfg-path configs/config.yaml``` in A100-SXM-80GB.

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