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README.md
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@@ -41,7 +41,7 @@ Terms of use: As the released models are pretrained from Llama3.2 3B backbone, A
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from embed_llm.models.augmented_model import load_and_save_released_models
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# ARC8_Encoder_multi, ARC8_Encoder_Llama or ARC8_Encoder_Mistral
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load_and_save_released_models(
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```
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***Remark:*** This code snippet loads the model from Hugging Face and then creates appropriate folders at `<TMP_PATH>` containing the checkpoint and additional necessary files for fine-tuning or evaluation with the `ARC-Encoder` codebase. To reduce occupied memory space, you can then delete the model from your Hugging Face cache.
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from embed_llm.models.augmented_model import load_and_save_released_models
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# ARC8_Encoder_multi, ARC8_Encoder_Llama or ARC8_Encoder_Mistral
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load_and_save_released_models(ARC8_Encoder_multi, hf_token=<HF_TOKEN>)
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```
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***Remark:*** This code snippet loads the model from Hugging Face and then creates appropriate folders at `<TMP_PATH>` containing the checkpoint and additional necessary files for fine-tuning or evaluation with the `ARC-Encoder` codebase. To reduce occupied memory space, you can then delete the model from your Hugging Face cache.
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