Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use itsally/Dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itsally/Dataset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="itsally/Dataset")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("itsally/Dataset") model = AutoModelForSpeechSeq2Seq.from_pretrained("itsally/Dataset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2f505e463e83937b7740387141c2aa8500778fa30b59c37ccf49ddea5279510
- Size of remote file:
- 967 MB
- SHA256:
- 6b70982945c5e7ba352d4c3faaa273e3599713f608ae0ff091b65035c66f0b10
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