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