Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
Safetensors
Portuguese
English
Spanish
whisper
audio
Eval Results (legacy)
# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("cloudqi/cqi_speech_recognize_pt_v0")
model = AutoModelForSpeechSeq2Seq.from_pretrained("cloudqi/cqi_speech_recognize_pt_v0")Quick Links
- Downloads last month
- 16
Dataset used to train cloudqi/cqi_speech_recognize_pt_v0
Spaces using cloudqi/cqi_speech_recognize_pt_v0 2
Evaluation results
- Test WER on LibriSpeech (clean)test set self-reported2.900
- Test WER on LibriSpeech (other)test set self-reported5.900
- Test WER on Common Voice 11.0test set self-reported53.870
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cloudqi/cqi_speech_recognize_pt_v0")