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
Download vocab.json from akisviete/azuolas-whisper-lt: direct link, hf CLI and curl.
- Browser
- Download file 836 kB
-
https://huggingface.co/akisviete/azuolas-whisper-lt/resolve/main/vocab.json
- Command line
-
hf download hf://akisviete/azuolas-whisper-lt/vocab.json
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curl -L -o vocab.json https://huggingface.co/akisviete/azuolas-whisper-lt/resolve/main/vocab.json
836 kB
File too large to display, you can check the raw version instead.