Automatic Speech Recognition
MLX
Safetensors
English
cohere_asr
speech-to-text
audio
quantized
8bit
custom_code
8-bit precision
Instructions to use beshkenadze/cohere-transcribe-03-2026-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use beshkenadze/cohere-transcribe-03-2026-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir cohere-transcribe-03-2026-mlx-8bit beshkenadze/cohere-transcribe-03-2026-mlx-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "architectures" : [ | |
| "CohereAsrForConditionalGeneration" | |
| ], | |
| "auto_map" : { | |
| "AutoConfig" : "configuration_cohere_asr.CohereAsrConfig", | |
| "AutoFeatureExtractor" : "processing_cohere_asr.CohereAsrFeatureExtractor", | |
| "AutoModel" : "modeling_cohere_asr.CohereAsrModel", | |
| "AutoModelForSpeechSeq2Seq" : "modeling_cohere_asr.CohereAsrForConditionalGeneration", | |
| "AutoProcessor" : "processing_cohere_asr.CohereAsrProcessor", | |
| "AutoTokenizer" : "tokenization_cohere_asr.CohereAsrTokenizer" | |
| }, | |
| "batch_size" : 128, | |
| "decoding" : { | |
| "beam" : { | |
| "beam_size" : 1, | |
| "len_pen" : 0, | |
| "max_generation_delta" : 50 | |
| }, | |
| "return_best_hypothesis" : true, | |
| "strategy" : "beam" | |
| }, | |
| "encoder" : { | |
| "att_context_size" : [ | |
| -1, | |
| -1 | |
| ], | |
| "causal_downsampling" : false, | |
| "conv_context_size" : null, | |
| "conv_kernel_size" : 9, | |
| "conv_norm_type" : "batch_norm", | |
| "d_model" : 1280, | |
| "dropout" : 0, | |
| "dropout_att" : 0, | |
| "dropout_emb" : 0, | |
| "dropout_pre_encoder" : 0, | |
| "feat_in" : 128, | |
| "feat_out" : -1, | |
| "ff_expansion_factor" : 4, | |
| "n_heads" : 8, | |
| "n_layers" : 48, | |
| "pos_emb_max_len" : 5000, | |
| "reduction" : null, | |
| "reduction_factor" : 1, | |
| "reduction_position" : null, | |
| "self_attention_model" : "rel_pos", | |
| "subsampling" : "dw_striding", | |
| "subsampling_conv_channels" : 256, | |
| "subsampling_factor" : 8, | |
| "untie_biases" : true, | |
| "xscaling" : false | |
| }, | |
| "head" : { | |
| "activation" : "relu", | |
| "dropout" : 0, | |
| "hidden_size" : 1024, | |
| "log_softmax" : true, | |
| "num_classes" : 16384, | |
| "num_layers" : 1, | |
| "use_transformer_init" : true | |
| }, | |
| "is_encoder_decoder" : true, | |
| "log_batch_stats" : false, | |
| "log_prediction" : true, | |
| "max_audio_clip_s" : 35, | |
| "max_seq_len" : 1024, | |
| "model_defaults" : { | |
| "asr_enc_hidden" : 1280, | |
| "lm_dec_hidden" : 1024, | |
| "lm_enc_hidden" : 1024 | |
| }, | |
| "model_type" : "cohere_asr", | |
| "multitask_metrics_cfg" : { | |
| "log_predictions" : true, | |
| "metrics" : { | |
| "wer" : { | |
| "constraint" : ".source_lang==.target_lang" | |
| } | |
| } | |
| }, | |
| "overlap_chunk_second" : 5, | |
| "preprocessor" : { | |
| "dither" : 1.0000000000000001e-05, | |
| "features" : 128, | |
| "frame_splicing" : 1, | |
| "log" : true, | |
| "n_fft" : 512, | |
| "normalize" : "per_feature", | |
| "pad_to" : 0, | |
| "pad_value" : 0, | |
| "sample_rate" : 16000, | |
| "window" : "hann", | |
| "window_size" : 0.025000000000000001, | |
| "window_stride" : 0.01 | |
| }, | |
| "prompt_defaults" : [ | |
| { | |
| "role" : "user", | |
| "slots" : { | |
| "decodercontext" : "", | |
| "diarize" : "<|nodiarize|>", | |
| "emotion" : "<|emo:undefined|>", | |
| "itn" : "<|noitn|>", | |
| "pnc" : "<|pnc|>", | |
| "source_lang" : "<|en|>", | |
| "target_lang" : "<|en|>", | |
| "timestamp" : "<|notimestamp|>" | |
| } | |
| }, | |
| { | |
| "role" : "user_partial", | |
| "slots" : { | |
| "decodercontext" : "" | |
| } | |
| } | |
| ], | |
| "prompt_format" : "cohere_asr", | |
| "quantization" : { | |
| "bits" : 8, | |
| "group_size" : 64, | |
| "mode" : "affine" | |
| }, | |
| "quantization_config" : { | |
| "bits" : 8, | |
| "group_size" : 64, | |
| "mode" : "affine" | |
| }, | |
| "sample_rate" : 16000, | |
| "supported_languages" : [ | |
| "en", | |
| "fr", | |
| "de", | |
| "es", | |
| "it", | |
| "pt", | |
| "nl", | |
| "pl", | |
| "el", | |
| "ar", | |
| "ja", | |
| "zh", | |
| "vi", | |
| "ko" | |
| ], | |
| "transf_decoder" : { | |
| "config_dict" : { | |
| "attn_layer_dropout" : 0, | |
| "attn_score_dropout" : 0, | |
| "embedding_dropout" : 0, | |
| "ffn_dropout" : 0, | |
| "hidden_act" : "relu", | |
| "hidden_size" : 1024, | |
| "inner_size" : 4096, | |
| "learn_positional_encodings" : false, | |
| "lm_dec_hidden" : 1280, | |
| "max_sequence_length" : 1024, | |
| "num_attention_heads" : 8, | |
| "num_layers" : 8, | |
| "num_token_types" : 0, | |
| "pre_ln" : true, | |
| "vocab_size" : "None" | |
| }, | |
| "encoder" : null, | |
| "model_name" : null, | |
| "pre_ln_final_layer_norm" : true, | |
| "pretrained" : false | |
| }, | |
| "transf_encoder" : { | |
| "attn_layer_dropout" : 0, | |
| "attn_score_dropout" : 0, | |
| "ffn_dropout" : 0, | |
| "hidden_size" : 1024, | |
| "inner_size" : 4096, | |
| "mask_future" : false, | |
| "num_attention_heads" : 8, | |
| "num_layers" : 0, | |
| "pre_ln" : true, | |
| "pre_ln_final_layer_norm" : true | |
| }, | |
| "use_loss_mask_for_prompt" : false, | |
| "vocab_size" : 16384 | |
| } |