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 model.safetensors from akisviete/azuolas-whisper-lt: direct link, hf CLI and curl.
- Browser
- Download file 3.09 GB
-
https://huggingface.co/akisviete/azuolas-whisper-lt/resolve/main/model.safetensors
- Command line
-
hf download hf://akisviete/azuolas-whisper-lt/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/akisviete/azuolas-whisper-lt/resolve/main/model.safetensors
3.09 GB
- Xet hash:
- ab59475afe2f14c29753f12a76f3df95e1ea26cb28bb570cfb15d66537512f05
- Size of remote file:
- 3.09 GB
- SHA256:
- 5b1e1325443c5b70ee636c00073c710c310913cc3db663ef9b538c2d54a09e83
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