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 pytorch_model.bin from Bidwill/whisper-small-sanskrit: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/Bidwill/whisper-small-sanskrit/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Bidwill/whisper-small-sanskrit/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Bidwill/whisper-small-sanskrit/resolve/main/pytorch_model.bin
967 MB
- Xet hash:
- 6d3894bd8f26a94841ecd137910cff1afc473b6431ade2b38d89648a7ff7681c
- Size of remote file:
- 967 MB
- SHA256:
- f4c80c81e65a2ab31e2f24095e7ec7f4270f190edbcf2907840e3dff2a0af8e3
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