Automatic Speech Recognition
Transformers
Safetensors
Sanskrit
English
whisper
audio
asr
sanskrit
transliteration
iast
bhagavad-gita
Eval Results (legacy)
Instructions to use diabolic6045/GitaWhisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diabolic6045/GitaWhisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="diabolic6045/GitaWhisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("diabolic6045/GitaWhisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("diabolic6045/GitaWhisper-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a957ef5c5bc309f638906f517ebc570658648f96863a23b2a4ed6ad3e90e6438
- Size of remote file:
- 151 MB
- SHA256:
- bcbaac8f8998a5c5e5351b7dbd096d3f0d055fc4fa53a65fac357bba025c1978
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