Automatic Speech Recognition
Transformers
PyTorch
Portuguese
wav2vec2
audio
speech
portuguese-speech-corpus
PyTorch
Instructions to use lgris/bp-commonvoice10-xlsr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgris/bp-commonvoice10-xlsr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lgris/bp-commonvoice10-xlsr")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lgris/bp-commonvoice10-xlsr") model = AutoModelForCTC.from_pretrained("lgris/bp-commonvoice10-xlsr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from lgris/bp-commonvoice10-xlsr: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/lgris/bp-commonvoice10-xlsr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://lgris/bp-commonvoice10-xlsr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lgris/bp-commonvoice10-xlsr/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- e13e47021258e076d9ee0436d5f95ca5e17f1127c5a30b12c3a6d603c13ca23c
- Size of remote file:
- 1.26 GB
- SHA256:
- f573dabf24bd4c73436a3ddd2bf16c7d4989a169bf97668ae736600ff4beb262
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