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/decoder_kv.ort from FiditeNemini/CallMe: direct link, hf CLI and curl.
- Browser
- Download file 81.9 MB
-
https://huggingface.co/FiditeNemini/CallMe/resolve/main/stt/decoder_kv.ort
- Command line
-
hf download hf://FiditeNemini/CallMe/stt/decoder_kv.ort
-
curl -L -o decoder_kv.ort https://huggingface.co/FiditeNemini/CallMe/resolve/main/stt/decoder_kv.ort
81.9 MB
- Xet hash:
- 8911730ae58cd5981c485fd36c0801b362b6f2619da4f61ee87fb86ae4816987
- Size of remote file:
- 81.9 MB
- SHA256:
- 1a05465b1dd955858dfcbee039c0020fb5dd982b0f5094c34e61735d518d771b
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