Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
multilingual
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use arkanalexei/whisper-tiny-sundanese-pretrained-hanif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arkanalexei/whisper-tiny-sundanese-pretrained-hanif with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arkanalexei/whisper-tiny-sundanese-pretrained-hanif")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arkanalexei/whisper-tiny-sundanese-pretrained-hanif") model = AutoModelForSpeechSeq2Seq.from_pretrained("arkanalexei/whisper-tiny-sundanese-pretrained-hanif") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 848be8e4bafc40289e84e450af107854bfa5faa67c0d488979e643f3914cc7c3
- Size of remote file:
- 151 MB
- SHA256:
- 960c78fadb0dc7c863fb219ef5051bf9b8fe262d7f6d8642cd10396d48dc2257
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