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- Add upload_to_s3 function to handler - Save trained BERT models to S3 when credentials provided - Save LoRA adapters to S3 when credentials provided - Input params: s3_bucket, s3_prefix, aws_access_key_id, aws_secret_access_key, aws_region
13 lines
352 B
TOML
13 lines
352 B
TOML
[project]
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name = "ddi-trainer"
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base_image = "runpod/pytorch:2.4.0-py3.11-cuda12.4.1-devel-ubuntu22.04"
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gpu_types = ["NVIDIA RTX A4000", "NVIDIA RTX A5000", "NVIDIA RTX A6000", "NVIDIA GeForce RTX 4090"]
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gpu_count = 1
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volume_mount_path = "/runpod-volume"
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[project.env_vars]
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[runtime]
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handler_path = "handler.py"
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requirements_path = "requirements.txt"
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