Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Urdu
wav2vec2
hf-asr-leaderboard
robust-speech-event
Eval Results (legacy)
Instructions to use kingabzpro/wav2vec2-60-urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kingabzpro/wav2vec2-60-urdu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kingabzpro/wav2vec2-60-urdu")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kingabzpro/wav2vec2-60-urdu") model = AutoModelForCTC.from_pretrained("kingabzpro/wav2vec2-60-urdu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
d2e7c73
1
Parent(s): 6fa3745
Training in progress, step 100
Browse files
config.json
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{
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"_name_or_path": "
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"activation_dropout": 0.
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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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"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":
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"contrastive_logits_temperature": 0.1,
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"conv_bias": true,
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"conv_dim": [
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity":
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"diversity_loss_weight": 0.1,
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"do_stable_layer_norm": true,
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"eos_token_id": 2,
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"feat_proj_dropout": 0.0,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 1024,
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"num_hidden_layers": 24,
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"num_negatives": 100,
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"output_hidden_size": 1024,
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"pad_token_id":
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"proj_codevector_dim":
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"tdnn_dilation": [
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"torch_dtype": "float32",
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"transformers_version": "4.15.0",
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"use_weighted_layer_sum": false,
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"vocab_size":
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"xvector_output_dim": 512
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}
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{
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"_name_or_path": "m3hrdadfi/wav2vec2-large-xlsr-persian-v3",
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"activation_dropout": 0.09216,
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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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"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": true,
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"conv_dim": [
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2
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],
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity": true,
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"diversity_loss_weight": 0.1,
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"do_stable_layer_norm": true,
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"eos_token_id": 2,
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"feat_proj_dropout": 0.0,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 1024,
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"num_hidden_layers": 24,
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"num_negatives": 100,
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"output_hidden_size": 1024,
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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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2,
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"torch_dtype": "float32",
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"transformers_version": "4.15.0",
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"use_weighted_layer_sum": false,
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"vocab_size": 40,
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"xvector_output_dim": 512
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}
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pytorch_model.bin
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runs/Jan21_07-31-02_8de2030b21f4/1642750290.6172373/events.out.tfevents.1642750290.8de2030b21f4.74.1
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training_args.bin
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