- Updated stablediffusion crate path from "../stable-diffusion-burn" to "./crates/stable-diffusion-burn" for proper workspace resolution - Enhanced .gitignore to include generated model files (.mpk, .pt, .bin, .safetensors, .ckpt) and user_data directory - Added Cargo.lock to gitignore with appropriate comment - Reorganized IDE files section in gitignore for better clarity - Added newline at end of file for proper formatting
18 lines
727 B
Markdown
18 lines
727 B
Markdown
# Burn Dataset
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> [Burn](https://github.com/tracel-ai/burn) dataset library
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[](https://crates.io/crates/burn-dataset)
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[](https://github.com/tracel-ai/burn-dataset/blob/master/README.md)
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The Burn Dataset library is designed to streamline your machine learning (ML) data pipeline creation
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process. It offers a variety of dataset implementations, transformation functions, and data sources.
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## Feature Flags
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- `audio` - enables audio dataset (SpeechCommandsDataset). Run the following example to try it out:
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```shell
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cargo run --example speech_commands --features audio
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```
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