Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hindi
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use amitkayal/whisper-tiny-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amitkayal/whisper-tiny-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="amitkayal/whisper-tiny-hi")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("amitkayal/whisper-tiny-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("amitkayal/whisper-tiny-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from amitkayal/whisper-tiny-hi: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/amitkayal/whisper-tiny-hi/resolve/main/training_args.bin
- Command line
-
hf download hf://amitkayal/whisper-tiny-hi/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/amitkayal/whisper-tiny-hi/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- 19ca0cddbb1ae45ef049ee81bb952992279dc9f2d8ec0aecf39aac4aa79fdbaf
- Size of remote file:
- 3.57 kB
- SHA256:
- 362e717ec64557e66bd5d8f62fa29aef8fc2ace787027c930d56cf138176c347
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