Automatic Speech Recognition
Transformers
PyTorch
Portuguese
wav2vec2
pretraining
audio
voxpopuli-v2
Instructions to use facebook/wav2vec2-base-pt-voxpopuli-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-base-pt-voxpopuli-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-base-pt-voxpopuli-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base-pt-voxpopuli-v2") model = AutoModelForPreTraining.from_pretrained("facebook/wav2vec2-base-pt-voxpopuli-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from facebook/wav2vec2-base-pt-voxpopuli-v2: direct link, hf CLI and curl.
- Browser
- Download file 380 MB
-
https://huggingface.co/facebook/wav2vec2-base-pt-voxpopuli-v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://facebook/wav2vec2-base-pt-voxpopuli-v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/facebook/wav2vec2-base-pt-voxpopuli-v2/resolve/main/pytorch_model.bin
380 MB
- Xet hash:
- d632b024887e647f17f7e1a1273854be80ed7bf86ff682d052f5172b122a2ceb
- Size of remote file:
- 380 MB
- SHA256:
- 45e163af0a395ff770950dcb5f08364477126d7e37d898dd78d1d664f0c89fa9
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