Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Irish
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ymoslem/whisper-small-ga2en-v3.4-r with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ymoslem/whisper-small-ga2en-v3.4-r with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ymoslem/whisper-small-ga2en-v3.4-r")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ymoslem/whisper-small-ga2en-v3.4-r") model = AutoModelForSpeechSeq2Seq.from_pretrained("ymoslem/whisper-small-ga2en-v3.4-r") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3925599d6838f16ff9d70529f88cc42b4751ec30b91d5ac1abfed1c8d9fff41a
- Size of remote file:
- 5.3 kB
- SHA256:
- b960c47cea43a71a14c93b358b5ab6019f9f836575824baa68f0320e058353ed
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