Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
Safetensors
Portuguese
English
Spanish
whisper
audio
Eval Results (legacy)
Instructions to use cloudqi/cqi_speech_recognize_pt_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cloudqi/cqi_speech_recognize_pt_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cloudqi/cqi_speech_recognize_pt_v0")# 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") - Notebooks
- Google Colab
- Kaggle
metadata
language:
- pt
- en
- es
tags:
- audio
- automatic-speech-recognition
widget:
- example_title: Exemplo 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
model-index:
- name: cqi_speech_recognize_pt_v0
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: LibriSpeech (clean)
type: librispeech_asr
config: clean
split: test
args:
language: pt
metrics:
- name: Test WER
type: wer
value: 2.9
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: LibriSpeech (other)
type: librispeech_asr
config: other
split: test
args:
language: pt
metrics:
- name: Test WER
type: wer
value: 5.9
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 11.0
type: mozilla-foundation/common_voice_11_0
config: hi
split: test
args:
language: hi
metrics:
- name: Test WER
type: wer
value: 53.87
pipeline_tag: automatic-speech-recognition
license: apache-2.0
datasets:
- cloudqi/abreviacoes_e_girias_pt_v0
Voice Transcript - Portuguese Focused (From Whisper)
Optimized to work with Brazilian Language.
Current Version: v0.1