Instructions to use FiditeNemini/CallMe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use FiditeNemini/CallMe with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download FiditeNemini/CallMe --local-dir CallMe
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Add CallMe voice stack: Moonshine Small Streaming (stt/), Gemma-4-E2B MLX 4-bit (llm/)
785d121 verified Download stt/encoder.ort from FiditeNemini/CallMe: direct link, hf CLI and curl.
- Browser
- Download file 44.1 MB
-
https://huggingface.co/FiditeNemini/CallMe/resolve/main/stt/encoder.ort
- Command line
-
hf download hf://FiditeNemini/CallMe/stt/encoder.ort
-
curl -L -o encoder.ort https://huggingface.co/FiditeNemini/CallMe/resolve/main/stt/encoder.ort
44.1 MB
- Xet hash:
- 733130bc5bc894f066647eaf200f6f772ae68425ffdab80c5bbd8b8718f2242d
- Size of remote file:
- 44.1 MB
- SHA256:
- 2d4d973e91e8aca08c51e7e7efa28a46ab265b63d809d5294d18b86bcd85b993
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.