Instructions to use seastar105/whisper-tiny-komixv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seastar105/whisper-tiny-komixv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="seastar105/whisper-tiny-komixv2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("seastar105/whisper-tiny-komixv2") model = AutoModelForSpeechSeq2Seq.from_pretrained("seastar105/whisper-tiny-komixv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 575db1561497de5577f4bbf01e44169811e7b9ddbcdf3b3f5d3fc8001eba227b
- Size of remote file:
- 603 kB
- SHA256:
- 2dce95c32cf147c787d8f475c89cf319ea2e174f84c15b4c4ddeb2a2878030f5
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