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")# pip install -U transformers accelerate # 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
Download training_args.bin from diabolic6045/GitaWhisper-tiny: direct link, hf CLI and curl.
- Browser
- Download file 5.97 kB
-
https://huggingface.co/diabolic6045/GitaWhisper-tiny/resolve/main/training_args.bin
- Command line
-
hf download hf://diabolic6045/GitaWhisper-tiny/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/diabolic6045/GitaWhisper-tiny/resolve/main/training_args.bin
5.97 kB
- Xet hash:
- 580d0570c6d1036d1095895dbaa65fdf01129cdae84d5a9c398d73e0f81870fd
- Size of remote file:
- 5.97 kB
- SHA256:
- 0e3a40a058743eac6f20a171405c965954fc4cd0c36942edb958ba80d3c26df4
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