Automatic Speech Recognition
Transformers.js
PyTorch
ONNX
Vietnamese
whisper
audio
hf-asr-leaderboard
Instructions to use huuquyet/PhoWhisper-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use huuquyet/PhoWhisper-base with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'huuquyet/PhoWhisper-base');
File size: 2,840 Bytes
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"per_channel": false,
"reduce_range": false,
"per_model_config": {
"encoder_model": {
"op_types": [
"Reshape",
"Sqrt",
"Erf",
"Mul",
"ReduceMean",
"Gather",
"Softmax",
"Constant",
"Add",
"Pow",
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"Shape",
"Concat",
"Div",
"MatMul",
"Sub",
"Transpose",
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],
"weight_type": "QUInt8"
},
"decoder_model": {
"op_types": [
"Erf",
"Equal",
"Unsqueeze",
"Range",
"Less",
"Slice",
"Sqrt",
"Add",
"Pow",
"MatMul",
"Sub",
"Expand",
"Where",
"Transpose",
"Reshape",
"Cast",
"Mul",
"ReduceMean",
"Gather",
"Softmax",
"Constant",
"Concat",
"Squeeze",
"Shape",
"Div",
"ConstantOfShape"
],
"weight_type": "QInt8"
},
"decoder_with_past_model": {
"op_types": [
"Reshape",
"Sqrt",
"Erf",
"Mul",
"ReduceMean",
"Gather",
"Softmax",
"Constant",
"Concat",
"Unsqueeze",
"Add",
"Shape",
"Pow",
"Div",
"MatMul",
"Sub",
"Transpose",
"Slice"
],
"weight_type": "QInt8"
},
"decoder_model_merged": {
"op_types": [
"Erf",
"Equal",
"Unsqueeze",
"Range",
"Less",
"Slice",
"Sqrt",
"Add",
"Pow",
"MatMul",
"Sub",
"Expand",
"If",
"Where",
"Transpose",
"Reshape",
"Cast",
"Mul",
"ReduceMean",
"Gather",
"Softmax",
"Constant",
"Concat",
"Squeeze",
"Shape",
"Div",
"ConstantOfShape"
],
"weight_type": "QInt8"
}
}
} |