Contextual Earnings-22: A Speech Recognition Benchmark with Custom Vocabulary in the Wild
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Contextual Earnings-22: A Speech Recognition Benchmark with Custom Vocabulary in the Wild
SDBench: A Comprehensive Benchmark Suite for Speaker Diarization
Updating GPU assets
#26 opened 11 days ago
by 
aotrih
Updating GPU assets
#26 opened 11 days ago
by aotrih
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EduardoPacheco
posted an update about 2 years ago
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2327
Crazy to see that my GroundingDino contribution to the transformers library got roughly 600k downloads combined in the checkpoints in the last month 🤯
The tiny checkpoint got almost 500k alone IDEA-Research/grounding-dino-tiny
The tiny checkpoint got almost 500k alone IDEA-Research/grounding-dino-tiny
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EduardoPacheco
posted an update about 2 years ago
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2039
Currently pushing Hiera checkpoints to the hub to have it merged into the transformers library in the next few days 🤗
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What is WhisperKit?
WhisperKit is a pure Swift package built by @argmaxinc that enables real-time Whisper inference on iPhone, Mac and even Apple Watch in two lines of code. It is built on Core ML and can be configured to run on the Neural Engine or GPU or both. WhisperKit models are published and distributed through the Hugging Face Hub. Anyone can publish a Whisper fine-tune and evaluate it on their own dataset using WhisperKit!
WhisperKit models: argmaxinc/whisperkit-coreml
Example App: https://testflight.apple.com/join/LPVOyJZW
Swift Package: https://github.com/argmaxinc/WhisperKit
Python toolkit: https://github.com/argmaxinc/whisperkittools
WhisperKit is a pure Swift package built by @argmaxinc that enables real-time Whisper inference on iPhone, Mac and even Apple Watch in two lines of code. It is built on Core ML and can be configured to run on the Neural Engine or GPU or both. WhisperKit models are published and distributed through the Hugging Face Hub. Anyone can publish a Whisper fine-tune and evaluate it on their own dataset using WhisperKit!
WhisperKit models: argmaxinc/whisperkit-coreml
Example App: https://testflight.apple.com/join/LPVOyJZW
Swift Package: https://github.com/argmaxinc/WhisperKit
Python toolkit: https://github.com/argmaxinc/whisperkittools
aotrih
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