Feature Extraction
MLX
Safetensors
multilingual
embedding_gemma2
embedding-gemma2
embeddings
multimodal
quantized
apple-silicon
oriloq
Instructions to use NeoRoth/oriloq-embeddings-gemma2-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use NeoRoth/oriloq-embeddings-gemma2-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download NeoRoth/oriloq-embeddings-gemma2-mlx --local-dir oriloq-embeddings-gemma2-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download preprocessor_config.json from NeoRoth/oriloq-embeddings-gemma2-mlx: direct link, hf CLI and curl.
- Browser
- Download file 511 Bytes
-
https://huggingface.co/NeoRoth/oriloq-embeddings-gemma2-mlx/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://NeoRoth/oriloq-embeddings-gemma2-mlx/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/NeoRoth/oriloq-embeddings-gemma2-mlx/resolve/main/preprocessor_config.json
511 Bytes
| { | |
| "dither": 0.0, | |
| "feature_extractor_type": "Gemma4AudioFeatureExtractor", | |
| "feature_size": 128, | |
| "fft_length": 512, | |
| "fft_overdrive": false, | |
| "frame_length": 320, | |
| "hop_length": 160, | |
| "input_scale_factor": 1.0, | |
| "max_frequency": 8000.0, | |
| "mel_floor": 0.001, | |
| "min_frequency": 0.0, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "per_bin_mean": null, | |
| "per_bin_stddev": null, | |
| "preemphasis": 0.0, | |
| "preemphasis_htk_flavor": true, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000 | |
| } | |