Upload folder using huggingface_hub
Browse files- README.md +9 -0
- config.json +139 -0
- onnx/model.onnx +3 -0
- onnx/model_bnb4.onnx +3 -0
- onnx/model_fp16.onnx +3 -0
- onnx/model_int8.onnx +3 -0
- onnx/model_q4.onnx +3 -0
- onnx/model_q4f16.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- onnx/model_uint8.onnx +3 -0
- preprocessor_config.json +9 -0
- quantize_config.json +18 -0
README.md
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---
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library_name: transformers.js
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base_model:
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- prithivMLmods/Speech-Emotion-Classification
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---
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# Speech-Emotion-Classification (ONNX)
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This is an ONNX version of [prithivMLmods/Speech-Emotion-Classification](https://huggingface.co/prithivMLmods/Speech-Emotion-Classification). It was automatically converted and uploaded using [this space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).
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config.json
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "prithivMLmods/Speech-Emotion-Classification",
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"activation_dropout": 0.0,
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"adapter_attn_dim": null,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"add_adapter": false,
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"apply_spec_augment": true,
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"architectures": [
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"Wav2Vec2ForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 1,
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"classifier_proj_size": 256,
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"codevector_dim": 256,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": false,
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"conv_dim": [
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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"conv_kernel": [
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10,
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3,
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3,
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3,
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3,
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2,
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2
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],
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"conv_stride": [
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5,
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2,
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2,
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2,
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2,
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2,
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2
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],
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"ctc_loss_reduction": "sum",
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"ctc_zero_infinity": false,
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"diversity_loss_weight": 0.1,
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"do_stable_layer_norm": false,
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"eos_token_id": 2,
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"feat_extract_activation": "gelu",
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"feat_extract_norm": "group",
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"feat_proj_dropout": 0.1,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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"freeze_feat_extract_train": true,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "ANG",
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"1": "CAL",
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"2": "DIS",
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"3": "FEA",
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"4": "HAP",
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"5": "NEU",
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"6": "SAD",
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"7": "SUR"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"ANG": 0,
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"CAL": 1,
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"DIS": 2,
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"FEA": 3,
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"HAP": 4,
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"NEU": 5,
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"SAD": 6,
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"SUR": 7
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},
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.0,
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"mask_channel_length": 10,
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"mask_channel_min_space": 1,
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"mask_channel_other": 0.0,
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"mask_channel_prob": 0.0,
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"mask_channel_selection": "static",
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"mask_feature_length": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_min_space": 1,
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"mask_time_other": 0.0,
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"mask_time_prob": 0.05,
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"mask_time_selection": "static",
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"model_type": "wav2vec2",
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"no_mask_channel_overlap": false,
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"no_mask_time_overlap": false,
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"num_adapter_layers": 3,
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"num_attention_heads": 12,
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"num_codevector_groups": 2,
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"num_codevectors_per_group": 320,
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"num_feat_extract_layers": 7,
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"num_hidden_layers": 12,
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"num_negatives": 100,
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"output_hidden_size": 768,
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"pad_token_id": 0,
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"proj_codevector_dim": 256,
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"tdnn_dilation": [
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1,
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1,
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1
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],
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"tdnn_dim": [
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512,
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512,
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512,
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512,
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1500
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],
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"tdnn_kernel": [
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],
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"torch_dtype": "float32",
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"transformers_version": "4.49.0",
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"use_weighted_layer_sum": false,
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"vocab_size": 32,
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"xvector_output_dim": 512
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}
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onnx/model.onnx
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version https://git-lfs.github.com/spec/v1
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size 378609481
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onnx/model_bnb4.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/model_fp16.onnx
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version https://git-lfs.github.com/spec/v1
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size 189468010
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onnx/model_int8.onnx
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version https://git-lfs.github.com/spec/v1
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size 95389021
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onnx/model_q4.onnx
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version https://git-lfs.github.com/spec/v1
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size 89975333
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onnx/model_q4f16.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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size 95389059
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onnx/model_uint8.onnx
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version https://git-lfs.github.com/spec/v1
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size 95389059
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preprocessor_config.json
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{
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"do_normalize": true,
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0.0,
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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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quantize_config.json
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{
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"modes": [
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"fp16",
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"q8",
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"int8",
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"uint8",
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"q4",
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"q4f16",
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"bnb4"
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],
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"per_channel": false,
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"reduce_range": false,
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"block_size": null,
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"is_symmetric": true,
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"accuracy_level": null,
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"quant_type": 1,
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"op_block_list": null
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}
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