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openapi.yaml

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@@ -1817,15 +1817,6 @@ paths:
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oneOf:
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- $ref: '#/components/schemas/FullTrainingType'
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- $ref: '#/components/schemas/LoRATrainingType'
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from_hf_model:
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type: string
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description: The Hugging Face Hub repo to start training from. Should be as close as possible to the base model (specified by the `model` argument) in terms of architecture and size.
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hf_api_token:
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type: string
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description: The API token for the Hugging Face Hub.
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hf_model_revision:
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type: string
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description: The revision of the Hugging Face Hub model to continue training from. E.g., hf_model_revision=main (default, used if the argument is not provided) or hf_model_revision='607a30d783dfa663caf39e06633721c8d4cfcd7e' (specific commit).
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from_checkpoint:
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type: string
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description: The checkpoint identifier to continue training from a previous fine-tuning job. Format is `{$JOB_ID}` or `{$OUTPUT_MODEL_NAME}` or `{$JOB_ID}:{$STEP}` or `{$OUTPUT_MODEL_NAME}:{$STEP}`. The step value is optional; without it, the final checkpoint will be used.

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