Automatic Speech Recognition
Transformers
Safetensors
Lithuanian
whisper
lithuanian
asr
speech-recognition
liepa
Instructions to use akisviete/azuolas-whisper-lt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akisviete/azuolas-whisper-lt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="akisviete/azuolas-whisper-lt")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("akisviete/azuolas-whisper-lt") model = AutoModelForSpeechSeq2Seq.from_pretrained("akisviete/azuolas-whisper-lt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add contact address
Browse files
README.md
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Svoriai — CC BY 4.0, perimant LIEPA-3 garsyno nuorodų grandinę (VU /
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raštija.lt). Pagrindinis modelis `openai/whisper-large-v3` — Apache-2.0.
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Svoriai — CC BY 4.0, perimant LIEPA-3 garsyno nuorodų grandinę (VU /
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raštija.lt). Pagrindinis modelis `openai/whisper-large-v3` — Apache-2.0.
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## Kontaktai
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Dėl klausimų ir pasiūlymų rašykite **akisviete@gmail.com**.
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