Automatic Speech Recognition
Transformers
PyTorch
Faroese
whisper
audio
faroese
whisper-small
ravnur-project
faroe-islands
Eval Results (legacy)
Instructions to use carlosdanielhernandezmena/whisper-small-faroese-5k-steps-100h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use carlosdanielhernandezmena/whisper-small-faroese-5k-steps-100h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="carlosdanielhernandezmena/whisper-small-faroese-5k-steps-100h")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("carlosdanielhernandezmena/whisper-small-faroese-5k-steps-100h") model = AutoModelForMultimodalLM.from_pretrained("carlosdanielhernandezmena/whisper-small-faroese-5k-steps-100h") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
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size 966995080
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