Automatic Speech Recognition
Transformers
PyTorch
Portuguese
wav2vec2
robust-speech-event
mozilla-foundation/common_voice_8_0
Generated from Trainer
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use AlexN/xls-r-300m-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexN/xls-r-300m-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AlexN/xls-r-300m-pt")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("AlexN/xls-r-300m-pt") model = AutoModelForCTC.from_pretrained("AlexN/xls-r-300m-pt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48499c448bb77e3975a8d17a8754b406f8696c8f0161430d94c0a50d9a5502e5
- Size of remote file:
- 1.26 GB
- SHA256:
- 5f5d7b2fcdb057a9efa0cb4594f5e10189052b0b06e83db2a930bee63e07e804
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