Automatic Speech Recognition
Transformers
Safetensors
voxtral
feature-extraction
speech
speech-language-model
target-speaker-asr
multi-talker
speaker-diarization
meeting-transcription
Dixtral
Voxtral
DiCoW
BUT-FIT
custom_code
Instructions to use BUT-FIT/Dixtral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BUT-FIT/Dixtral with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BUT-FIT/Dixtral", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("BUT-FIT/Dixtral", trust_remote_code=True) model = AutoModel.from_pretrained("BUT-FIT/Dixtral", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
File size: 2,542 Bytes
cc34926 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 | {
"architectures": [
"DixtralForConditionalGeneration"
],
"audio_config": {
"activation_dropout": 0.0,
"activation_function": "gelu",
"additional_layer": false,
"additional_self_attention_layer": false,
"apply_fddt_to_n_layers": -1,
"architectures": [
"DiCoWForConditionalGeneration"
],
"attention_dropout": 0.0,
"bos_token_id": 50257,
"ctc_loss_reduction": "mean",
"ctc_weight": 0.0,
"decoder_start_token_id": 50258,
"dropout": 0.0,
"eos_token_id": 50257,
"fddt_bias_only": false,
"fddt_init": "suppressive",
"fddt_is_diagonal": true,
"fddt_use_non_target": true,
"fddt_use_overlap": true,
"fddt_use_silence": true,
"fddt_use_target": true,
"final_dropout": 0.0,
"head_dim": 64,
"hidden_size": 1280,
"initializer_range": 0.02,
"intermediate_size": 5120,
"is_encoder_decoder": true,
"layerdrop": 0.0,
"max_length": null,
"max_source_positions": 1500,
"model_type": "voxtral_encoder",
"non_target_fddt_value": 0.5,
"num_attention_heads": 20,
"num_hidden_layers": 32,
"num_key_value_heads": 20,
"num_mel_bins": 128,
"pad_token_id": 50256,
"pre_ctc_sub_sample": false,
"remove_timestamps_from_ctc": true,
"scale_embedding": false,
"scb_layers": null,
"torch_dtype": "float32",
"use_dicow_encoder": true,
"use_enrollments": false,
"use_fddt": true,
"use_pre_pos_fddt": true,
"vocab_size": 51866
},
"audio_token_id": 24,
"auto_map": {
"AutoConfig": "configuration_dixtral.DixtralConfig",
"AutoModel": "modeling_dixtral.DixtralForConditionalGeneration"
},
"forced_decoder_ids": null,
"hidden_size": 3072,
"model_type": "voxtral",
"num_soft_prompts": 0,
"projector_hidden_act": "gelu",
"text_config": {
"attention_bias": false,
"attention_dropout": 0.0,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 3072,
"initializer_range": 0.02,
"intermediate_size": 8192,
"max_position_embeddings": 131072,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 30,
"num_key_value_heads": 8,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 100000000.0,
"sliding_window": null,
"torch_dtype": "float32",
"use_cache": true,
"vocab_size": 131072
},
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.55.0",
"vocab_size": 131072
}
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