Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Instructions to use amithm3/whisper-small-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amithm3/whisper-small-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="amithm3/whisper-small-hi")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("amithm3/whisper-small-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("amithm3/whisper-small-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from amithm3/whisper-small-hi: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/amithm3/whisper-small-hi/resolve/main/training_args.bin
- Command line
-
hf download hf://amithm3/whisper-small-hi/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/amithm3/whisper-small-hi/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 14890718dcbbe39aa1cf16324b2ec49687b72bb58124f651598005b7812d0c47
- Size of remote file:
- 5.11 kB
- SHA256:
- b8fee5ebcbd562c8d163da9f897b68ce21d20463e40c72f8aaf4340bec452cc6
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