Edit model card

Pretrained on 10k hours WenetSpeech L subset. More details in TencentGameMate/chinese_speech_pretrain

This model does not have a tokenizer as it was pretrained on audio alone. In order to use this model speech recognition, a tokenizer should be created and the model should be fine-tuned on labeled text data.

python package: transformers==4.16.2



import torch
import torch.nn.functional as F
import soundfile as sf

from transformers import (
    Wav2Vec2FeatureExtractor,
    HubertModel,
)


model_path=""
wav_path=""

feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(model_path)
model = HubertModel.from_pretrained(model_path)

# for pretrain: Wav2Vec2ForPreTraining
# model = Wav2Vec2ForPreTraining.from_pretrained(model_path)

model = model.to(device)
model = model.half()
model.eval()

wav, sr = sf.read(wav_path)
input_values = feature_extractor(wav, return_tensors="pt").input_values
input_values = input_values.half()
input_values = input_values.to(device)

with torch.no_grad():
    outputs = model(input_values)
    last_hidden_state = outputs.last_hidden_state

Downloads last month
5,499
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for TencentGameMate/chinese-hubert-base

Finetunes
1 model

Spaces using TencentGameMate/chinese-hubert-base 12