Automatic Speech Recognition
Transformers
PyTorch
Tamil
whisper
whisper-event
Generated from Trainer
Instructions to use G-Rahul/whisper-tiny-ta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use G-Rahul/whisper-tiny-ta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="G-Rahul/whisper-tiny-ta")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("G-Rahul/whisper-tiny-ta") model = AutoModelForSpeechSeq2Seq.from_pretrained("G-Rahul/whisper-tiny-ta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from G-Rahul/whisper-tiny-ta: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/G-Rahul/whisper-tiny-ta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://G-Rahul/whisper-tiny-ta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/G-Rahul/whisper-tiny-ta/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- c62227560c9ef3894308144198e2c7477fe791d7a9d99d03666de17139f586ab
- Size of remote file:
- 151 MB
- SHA256:
- f3843686519777a4550909e8bd4961dcf7425e7183295f03d09a433a271f0887
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