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63 lines
1.6 KiB
63 lines
1.6 KiB
1 month ago
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# Showcase
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Despite being a tiny library, tinygrad is capable of doing a lot of things. From state-of-the-art [vision](https://arxiv.org/abs/1905.11946) to state-of-the-art [language](https://arxiv.org/abs/1706.03762) models.
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## Vision
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### EfficientNet
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You can either pass in the URL of a picture to discover what it is:
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```sh
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python3 examples/efficientnet.py ./test/models/efficientnet/Chicken.jpg
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```
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Or, if you have a camera and OpenCV installed, you can detect what is in front of you:
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```sh
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python3 examples/efficientnet.py webcam
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```
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### YOLOv8
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Take a look at [yolov8.py](https://github.com/tinygrad/tinygrad/tree/master/examples/yolov8.py).
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## Audio
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### Whisper
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Take a look at [whisper.py](https://github.com/tinygrad/tinygrad/tree/master/examples/whisper.py). You need pyaudio and torchaudio installed.
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```sh
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SMALL=1 python3 examples/whisper.py
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```
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## Generative
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### Stable Diffusion
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```sh
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python3 examples/stable_diffusion.py
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```
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*"a horse sized cat eating a bagel"*
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### LLaMA
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You will need to download and put the weights into the `weights/LLaMA` directory, which may need to be created.
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Then you can have a chat with Stacy:
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```sh
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python3 examples/llama.py
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```
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### Conversation
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Make sure you have espeak installed and `PHONEMIZER_ESPEAK_LIBRARY` set.
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Then you can talk to Stacy:
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```sh
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python3 examples/conversation.py
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```
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