Automatic Speech Recognition
Transformers
PyTorch
Portuguese
wav2vec2
audio
speech
portuguese-speech-corpus
PyTorch
Instructions to use lgris/bp-cetuc100-xlsr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgris/bp-cetuc100-xlsr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lgris/bp-cetuc100-xlsr")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lgris/bp-cetuc100-xlsr") model = AutoModelForCTC.from_pretrained("lgris/bp-cetuc100-xlsr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from lgris/bp-cetuc100-xlsr: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/lgris/bp-cetuc100-xlsr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://lgris/bp-cetuc100-xlsr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lgris/bp-cetuc100-xlsr/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 0221254893f5eabf8e55373d0b161c0c3614d53bd9eb8b389581d113c4207402
- Size of remote file:
- 1.26 GB
- SHA256:
- 2e4afd818c7e1120f942be23487f1e55e8af5f40a2162c74d2edf175ef7e6292
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