Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Instructions to use TristanBehrens/whisper-small-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TristanBehrens/whisper-small-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TristanBehrens/whisper-small-hi")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TristanBehrens/whisper-small-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("TristanBehrens/whisper-small-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from TristanBehrens/whisper-small-hi: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/TristanBehrens/whisper-small-hi/resolve/main/training_args.bin
- Command line
-
hf download hf://TristanBehrens/whisper-small-hi/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TristanBehrens/whisper-small-hi/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 4de6a13d60ec4505f03e238cd16f13f3e240e7a9cb38bc16e4c32dd751c5c6ed
- Size of remote file:
- 5.5 kB
- SHA256:
- ea529916bfbf6be7fab4e461a97481f70eaad737167da1742858c41bb784ef1b
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