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fp16 MLX conversion of CohereLabs/cohere-transcribe-03-2026 (source revision b1eacc2686a3d08ceaae5f24a88b1d519620bc09), converted with mlx-audio. No architecture, vocabulary, or training changes. See the base model...
Fonte do modelo
Descrição da fonte
fp16 MLX conversion of
CohereLabs/cohere-transcribe-03-2026
(source revision b1eacc2686a3d08ceaae5f24a88b1d519620bc09), converted with
mlx-audio. No architecture, vocabulary, or training changes. See the base
model card for capabilities, training details, and evaluations.
Apache-2.0, from the base model. The custom architecture code (, , , ) is Cohere's, redistributed unchanged. Change vs. the source: fp16 MLX conversion.
Fontes
1 fonteVerificado 13 de set.
Artefatos de modelo
1 artefatoTrechos de fonte
2 trechos
modeling_cohere_asr.pyconfiguration_cohere_asr.pyprocessing_cohere_asr.pytokenization_cohere_asr.pymodel.safetensors sha256
dab83b01ee41b929f2f644aa9ecb388db1359f9f7e1d6db64b6c35def30ab9ba
python -m mlx_audio.stt.generate --model littoralai/cohere-transcribe-mlx-fp16 \
--audio audio.wav --output out
--- library_name: mlx tags: - mlx - automatic-speech-recognition - audio - speech-recognition - transcription - cohere_asr - custom_code language: - multilingual license: apache-2.0 pipeline_tag: automatic-speech-recognition base_model: CohereLabs/cohere-transcribe-03-2026 base_model_relation: quantized --- # littoralai/cohere-transcribe-mlx-fp16 fp16 MLX conversion of [CohereLabs/cohere-transcribe-03-2026](https://huggingface.co/CohereLabs/cohere-transcribe-03-2026) (source revision `b1eacc2686a3d08ceaae5f24a88b1d519620bc09`), converted with mlx-audio. No architecture, vocabulary, or training changes. See the base model card for capabilities, training details, and evaluations. ## License Apache-2.0, from the base model. The custom architecture code (`modeling_cohere_asr.py`, `configuration_cohere_asr.py`, `processing_cohere_asr.py`, `tokenization_cohere_asr.py`) is Cohere's, redistributed unchanged. Change vs. the source: fp16 MLX conversion. ## Integrity `model.safetensors` sha256 `dab83b01ee41b929f2f644aa9ecb388db1359f9f7e1d6db64b6c35def30ab9ba` ## Use with mlx-audio ```bash python -m mlx_audio.stt.generate --model littoralai/cohere-transcribe-mlx-fp16 \ --audio audio.wav --output out ```
Source context: 30 downloads · 0 likes · Pipeline automatic-speech-recognition · Library mlx · Repo littoralai/cohere-transcribe-mlx-fp16