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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from cloudqi/cqi_speech_recognize_pt_v0: direct link, hf CLI and curl.
- Browser
- Download file 2.2 MB
-
https://huggingface.co/cloudqi/cqi_speech_recognize_pt_v0/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://cloudqi/cqi_speech_recognize_pt_v0@refs/pr/2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/cloudqi/cqi_speech_recognize_pt_v0/resolve/refs%2Fpr%2F2/tokenizer.json
2.2 MB
File too large to display, you can check the raw version instead.