Automatic Speech Recognition
Transformers
Safetensors
Slovenian
whisper
speech
slovenian
seq2seq
Eval Results (legacy)
Instructions to use yuriyvnv/whisper-large-v3-slovenian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuriyvnv/whisper-large-v3-slovenian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yuriyvnv/whisper-large-v3-slovenian")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("yuriyvnv/whisper-large-v3-slovenian") model = AutoModelForSpeechSeq2Seq.from_pretrained("yuriyvnv/whisper-large-v3-slovenian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7be335c46689623090104b1e542392467fed2e0075a5af5107acd18cafb22790
- Size of remote file:
- 1.18 GB
- SHA256:
- 93683c72914cda50af64fa5380dcca2ee49ff926cb613cf0bec48a8a4363abdc
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