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Add some missing entries to the changelog. (#606)
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@ -3,6 +3,14 @@ This documents the main changes to the `candle` crate.
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## Unreleased
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### Added
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- Add pose estimation to the yolo example
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[589](https://github.com/huggingface/candle/pull/589).
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- Api to write GGUF files
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[585](https://github.com/huggingface/candle/pull/585).
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- Support more quantization types
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[580](https://github.com/huggingface/candle/pull/580).
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- Add EfficientNet as an example Computer Vision model
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[572](https://github.com/huggingface/candle/pull/572).
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- Add a group parameter to convolutions
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[566](https://github.com/huggingface/candle/pull/566).
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- New dtype: int64
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@ -62,7 +62,8 @@ Check out our [examples](./candle-examples/examples/):
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the LLaMA model using the same quantization techniques as
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[llama.cpp](https://github.com/ggerganov/llama.cpp).
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- [yolo-v3](./candle-examples/examples/yolo-v3/) and
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[yolo-v8](./candle-examples/examples/yolo-v8/): object detection models.
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[yolo-v8](./candle-examples/examples/yolo-v8/): object detection and pose
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estimation models.
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Run them using the following commands:
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```
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cargo run --example whisper --release
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@ -74,7 +75,7 @@ cargo run --example stable-diffusion --release -- --prompt "a rusty robot holdin
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cargo run --example dinov2 --release -- --image path/to/myinput.jpg
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cargo run --example quantized --release
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cargo run --example yolo-v3 --release -- myimage.jpg
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cargo run --example yolo-v8 --release -- myimage.jpg
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cargo run --example yolo-v8 --release -- myimage.jpg # for pose estimation, add --task pose
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```
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In order to use **CUDA** add `--features cuda` to the example command line. If
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