Audio Classification
MLX
Safetensors
firered-lid
audio
language-identification
dialect-identification
Instructions to use aufklarer/FireRedLID-887M-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aufklarer/FireRedLID-887M-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir FireRedLID-887M-MLX-8bit aufklarer/FireRedLID-887M-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
| { | |
| "artifact": "model.safetensors", | |
| "artifact_tensor_count": 1110, | |
| "base_artifact_sha256": "d1b9c2df71cac8d14f792617f648d49385740a9cbb214d58fdf5e75bee45e834", | |
| "dtype": "int8-affine-all-linear", | |
| "logical_model_element_count": 887469408, | |
| "logical_quantized_weight_elements": 707942400, | |
| "quantization": { | |
| "activations": "unchanged", | |
| "bits": 8, | |
| "group_size": 64, | |
| "logical_quantized_weight_elements": 707942400, | |
| "method": "affine-weight-only", | |
| "quantized_linear_count": 205, | |
| "scope": "all-linear" | |
| }, | |
| "quantized_linear_count": 205, | |
| "sha256": "275a0a5b18b64b400870dc82a0de187e7a3a624c24a523db0326273a14f726d2", | |
| "size_bytes": 1134584042, | |
| "source_tensor_count": 700 | |
| } | |