Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Portuguese
wav2vec2
Generated from Trainer
hf-asr-leaderboard
mozilla-foundation/common_voice_7_0
robust-speech-event
Eval Results (legacy)
Instructions to use lgris/wav2vec2-xls-r-pt-cv7-from-bp400h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgris/wav2vec2-xls-r-pt-cv7-from-bp400h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lgris/wav2vec2-xls-r-pt-cv7-from-bp400h")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lgris/wav2vec2-xls-r-pt-cv7-from-bp400h") model = AutoModelForCTC.from_pretrained("lgris/wav2vec2-xls-r-pt-cv7-from-bp400h", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- .gitignore +1 -0
- runs/Jan25_22-00-26_72940b2e396a/1643148035.7183433/events.out.tfevents.1643148035.72940b2e396a.82.3 +3 -0
- runs/Jan25_22-00-26_72940b2e396a/events.out.tfevents.1643148035.72940b2e396a.82.2 +3 -0
- runs/Jan25_22-41-55_72940b2e396a/1643150525.1576257/events.out.tfevents.1643150525.72940b2e396a.82.5 +3 -0
- runs/Jan25_22-41-55_72940b2e396a/events.out.tfevents.1643150525.72940b2e396a.82.4 +3 -0
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