Automatic Speech Recognition
Transformers
Safetensors
Portuguese
whisper
contrastive-learning
synthetic-data-filtering
Instructions to use remynd/whisper-medium-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use remynd/whisper-medium-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="remynd/whisper-medium-pt")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("remynd/whisper-medium-pt") model = AutoModelForSpeechSeq2Seq.from_pretrained("remynd/whisper-medium-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- **Repository:** https://github.com/my-north-ai/semantic_audio_filtering
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- **Paper:** (https://ieeexplore.ieee.org/document/10720758/
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## Uses
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- **Repository:** https://github.com/my-north-ai/semantic_audio_filtering
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- **Paper:** (https://ieeexplore.ieee.org/document/10720758/)
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## Uses
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