Instructions to use eamonmckenna/whisper-tiny-ga-IE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eamonmckenna/whisper-tiny-ga-IE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="eamonmckenna/whisper-tiny-ga-IE")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("eamonmckenna/whisper-tiny-ga-IE") model = AutoModelForSpeechSeq2Seq.from_pretrained("eamonmckenna/whisper-tiny-ga-IE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 044939746eb3f9e396301c92d07420b59c53e6e1a8c39254c962d3bf4fa82360
- Size of remote file:
- 5.5 kB
- SHA256:
- a0757e279aaf590300e090c14900bb8c97b1369fe699e02779674b7d4c770dc4
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