Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use simpragma/breeze-listen-dsw-small-ml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simpragma/breeze-listen-dsw-small-ml with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="simpragma/breeze-listen-dsw-small-ml")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("simpragma/breeze-listen-dsw-small-ml") model = AutoModelForSpeechSeq2Seq.from_pretrained("simpragma/breeze-listen-dsw-small-ml", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b44319ac8bf1b4235fbbbd5619cb33fbd4057141d462f568f79b6d03e447a587
- Size of remote file:
- 563 MB
- SHA256:
- 64c9476806e73a086279e5aa86b9613ce6f2f88287be16a16f1daac14201ec63
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