Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Indonesian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use TheRains/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRains/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheRains/output")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TheRains/output") model = AutoModelForSpeechSeq2Seq.from_pretrained("TheRains/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2e6d6915d2777d82a20dacd2f3ea854c017fb65104d16ac20434c3007d38909
- Size of remote file:
- 3.71 kB
- SHA256:
- 7677e8dd8c825ffa1d13c83f7f1875bc105b9a5f0b423a430332e80c88c683f5
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