Instructions to use byoussef/whisper-tiny-minds14-en-US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use byoussef/whisper-tiny-minds14-en-US with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="byoussef/whisper-tiny-minds14-en-US")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("byoussef/whisper-tiny-minds14-en-US") model = AutoModelForSpeechSeq2Seq.from_pretrained("byoussef/whisper-tiny-minds14-en-US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from byoussef/whisper-tiny-minds14-en-US: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/byoussef/whisper-tiny-minds14-en-US/resolve/main/training_args.bin
- Command line
-
hf download hf://byoussef/whisper-tiny-minds14-en-US/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/byoussef/whisper-tiny-minds14-en-US/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- c862d793d98067bf7dd8cae0cfe63a51d784841d774d44c935fb662f59189779
- Size of remote file:
- 4.16 kB
- SHA256:
- 04f93af27d2714708f0461de61854a34c84c71f33c5c105b04ee723ca6680ecb
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