Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Armenian
whisper
SpeechToText
Audio
Audio Transcription
Instructions to use Chillarmo/whisper-small-hy-AM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chillarmo/whisper-small-hy-AM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Chillarmo/whisper-small-hy-AM")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Chillarmo/whisper-small-hy-AM") model = AutoModelForSpeechSeq2Seq.from_pretrained("Chillarmo/whisper-small-hy-AM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ca7418b19bfb93e453ec2318b6b553d7c3b36b3f16b7653560c701ac140e343
- Size of remote file:
- 4.86 kB
- SHA256:
- cef803b82acd602b1fc9b22353c79480a76debf7b0f2c6c7243bb4a40fceb759
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