Audio Classification
MLX
Core ML
English
decision-model
turn-taking
endpoint-detection
barge-in
backchannel
full-duplex
streaming
on-device
core-ai
gru
audio
Instructions to use donpark/tyger-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use donpark/tyger-models with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download donpark/tyger-models --local-dir tyger-models
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download coreai__tyger_encoder_float16.aimodel__metadata.json from donpark/tyger-models: direct link, hf CLI and curl.
- Browser
- Download file 105 Bytes
-
https://huggingface.co/donpark/tyger-models/resolve/main/coreai__tyger_encoder_float16.aimodel__metadata.json
- Command line
-
hf download hf://donpark/tyger-models/coreai__tyger_encoder_float16.aimodel__metadata.json
-
curl -L -o coreai__tyger_encoder_float16.aimodel__metadata.json https://huggingface.co/donpark/tyger-models/resolve/main/coreai__tyger_encoder_float16.aimodel__metadata.json
105 Bytes
| { | |
| "assetVersion" : "2.0", | |
| "producer" : "coreai-core 1.0.0b3", | |
| "creationDate" : "20261020T185125Z" | |
| } |