Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Greek
whisper
whisper-event
Generated from Trainer
hf-asr-leaderboard
greek
Eval Results (legacy)
Instructions to use farsipal/whisper-md-el-intlv-xs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use farsipal/whisper-md-el-intlv-xs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="farsipal/whisper-md-el-intlv-xs")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("farsipal/whisper-md-el-intlv-xs") model = AutoModelForSpeechSeq2Seq.from_pretrained("farsipal/whisper-md-el-intlv-xs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a262a02cc567dbe68e9b1b665e127880536b2523d2a13eb93a73599572802b52
- Size of remote file:
- 3.71 kB
- SHA256:
- 7f3fc7167a96a99d99303cae9b32003f5e1d07ac43b0a291f24b095a977ac3a6
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