Automatic Speech Recognition
Transformers
PyTorch
Icelandic
whisper
audio
icelandic
whisper-large
iceland
reykjavik
samromur
Eval Results (legacy)
Instructions to use carlosdanielhernandezmena/whisper-large-icelandic-10k-steps-1000h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use carlosdanielhernandezmena/whisper-large-icelandic-10k-steps-1000h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="carlosdanielhernandezmena/whisper-large-icelandic-10k-steps-1000h")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("carlosdanielhernandezmena/whisper-large-icelandic-10k-steps-1000h") model = AutoModelForMultimodalLM.from_pretrained("carlosdanielhernandezmena/whisper-large-icelandic-10k-steps-1000h") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2611a32a8bbc905dc45175925d41fc85f3968e9d444d7de00d47950b3ff3c1ba
- Size of remote file:
- 6.17 GB
- SHA256:
- f2df2cd8bd08ecad26492b4cf373e7fad4653dd30195e0b0423fffec743bba79
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