Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hindi
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use pranay-j/whisper-small-hindi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pranay-j/whisper-small-hindi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pranay-j/whisper-small-hindi")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("pranay-j/whisper-small-hindi") model = AutoModelForSpeechSeq2Seq.from_pretrained("pranay-j/whisper-small-hindi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pranay-j/whisper-small-hindi: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/pranay-j/whisper-small-hindi/resolve/main/training_args.bin
- Command line
-
hf download hf://pranay-j/whisper-small-hindi/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pranay-j/whisper-small-hindi/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 05b421c45a78d32fe0da4524ac3e0df435ca0590c9c70f276b6646e725fc31dc
- Size of remote file:
- 3.58 kB
- SHA256:
- ccb72480139d891c43c9dfb01ae474fabe73716ea321646f02f49012044c4bf1
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