Audio Classification
Transformers
ONNX
Safetensors
PyTorch
wav2vec2
language-identification
indian-languages
multilingual
speech
asr-preprocessing
callcenter-ai
speech-analytics
huggingface
Instructions to use onecxi/vakgyata-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onecxi/vakgyata-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="onecxi/vakgyata-base")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("onecxi/vakgyata-base") model = AutoModelForAudioClassification.from_pretrained("onecxi/vakgyata-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,699 Bytes
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"_name_or_path": "onecxi/vakgyata-base/",
"activation_dropout": 0.1,
"adapter_attn_dim": null,
"adapter_kernel_size": 3,
"adapter_stride": 2,
"add_adapter": false,
"apply_spec_augment": true,
"architectures": [
"Wav2Vec2ForSequenceClassification"
],
"attention_dropout": 0.1,
"bos_token": "<s>",
"bos_token_id": 1,
"classifier_proj_size": 1024,
"codevector_dim": 256,
"contrastive_logits_temperature": 0.1,
"conv_bias": false,
"conv_dim": [
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512
],
"conv_kernel": [
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],
"conv_stride": [
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],
"ctc_loss_reduction": "sum",
"ctc_zero_infinity": false,
"diversity_loss_weight": 0.1,
"do_lower_case": false,
"do_stable_layer_norm": true,
"eos_token": "</s>",
"eos_token_id": 2,
"feat_extract_activation": "gelu",
"feat_extract_norm": "group",
"feat_proj_dropout": 0.1,
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"final_dropout": 0.1,
"gradient_checkpointing": false,
"hidden_act": "gelu",
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"hidden_size": 768,
"id2label": {
"0": "en-IN",
"1": "hi-IN",
"2": "or-IN",
"3": "bn-IN",
"4": "ta-IN",
"5": "te-IN",
"6": "kn-IN",
"7": "ml-IN",
"8": "mr-IN",
"9": "gu-IN",
"10": "pa-IN",
"11": "as-IN"
},
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"mr-IN": 8,
"or-IN": 2,
"pa-IN": 10,
"ta-IN": 4,
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},
"layer_norm_eps": 1e-05,
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"mask_time_length": 10,
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"mask_time_prob": 0.05,
"model_name": "vakgyata",
"model_type": "wav2vec2",
"num_adapter_layers": 3,
"num_attention_heads": 12,
"num_codevector_groups": 2,
"num_codevectors_per_group": 320,
"num_conv_pos_embedding_groups": 16,
"num_conv_pos_embeddings": 128,
"num_feat_extract_layers": 7,
"num_hidden_layers": 12,
"num_negatives": 100,
"output_hidden_size": 768,
"pad_token": "[PAD]",
"pad_token_id": 0,
"proj_codevector_dim": 256,
"tdnn_dilation": [
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1,
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],
"tdnn_dim": [
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512,
512,
1500
],
"tdnn_kernel": [
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],
"torch_dtype": "float32",
"transformers_version": "4.48.3",
"unk_token": "[UNK]",
"use_weighted_layer_sum": false,
"vocab_size": 12,
"word_delimiter_token": "|",
"xvector_output_dim": 512
}
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