Automatic Speech Recognition
Transformers
Safetensors
Tibetan
whisper
audio
speech-to-text
tibetan
translation
low-resource
Eval Results (legacy)
Instructions to use milanakdj/whisper-small-full-tibetan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use milanakdj/whisper-small-full-tibetan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="milanakdj/whisper-small-full-tibetan")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("milanakdj/whisper-small-full-tibetan") model = AutoModelForSpeechSeq2Seq.from_pretrained("milanakdj/whisper-small-full-tibetan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K