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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from cloudqi/cqi_speech_recognize_pt_v0: direct link, hf CLI and curl.
- Browser
- Download file 3.06 GB
-
https://huggingface.co/cloudqi/cqi_speech_recognize_pt_v0/resolve/main/model.safetensors
- Command line
-
hf download hf://cloudqi/cqi_speech_recognize_pt_v0/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/cloudqi/cqi_speech_recognize_pt_v0/resolve/main/model.safetensors
3.06 GB
- Xet hash:
- 86e83d2750d9627f0ff37a9d1df4990548bfdbec6bb333d11ebb24c62795d0ab
- Size of remote file:
- 3.06 GB
- SHA256:
- 62f73550fa6db24b0c6f6c5962bd0dae80fa644e93cde9cd9c3792971b47fd28
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