Automatic Speech Recognition
Transformers
PyTorch
Safetensors
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use Bidwill/whisper-small-sanskrit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bidwill/whisper-small-sanskrit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Bidwill/whisper-small-sanskrit")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Bidwill/whisper-small-sanskrit") model = AutoModelForSpeechSeq2Seq.from_pretrained("Bidwill/whisper-small-sanskrit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Bidwill/whisper-small-sanskrit: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/Bidwill/whisper-small-sanskrit/resolve/main/training_args.bin
- Command line
-
hf download hf://Bidwill/whisper-small-sanskrit/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Bidwill/whisper-small-sanskrit/resolve/main/training_args.bin
4.22 kB
- Xet hash:
- ed5d13255c79f1b5a88b6f4a9265878ff2e6a72e485d06b7265bb202d81475b6
- Size of remote file:
- 4.22 kB
- SHA256:
- f44c64df83474ca054e5dc9a4385ed473473aff424c5bc71fac69716c82fa03d
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