Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Swedish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Alexao/whisper-tiny-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alexao/whisper-tiny-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Alexao/whisper-tiny-hi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Alexao/whisper-tiny-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("Alexao/whisper-tiny-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7ac6b5e70ea3500a347519bd06b9d061602345bffbc830904cdf01a3193e0d9
- Size of remote file:
- 151 MB
- SHA256:
- ed68b65cd2faeb9b696dcc890c3450a9d7c1a372a16e8d8a0d27faa2dd218a2b
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