Instructions to use imvladikon/whisper-medium-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imvladikon/whisper-medium-he with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="imvladikon/whisper-medium-he")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("imvladikon/whisper-medium-he") model = AutoModelForSpeechSeq2Seq.from_pretrained("imvladikon/whisper-medium-he", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from imvladikon/whisper-medium-he: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/imvladikon/whisper-medium-he/resolve/main/training_args.bin
- Command line
-
hf download hf://imvladikon/whisper-medium-he/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/imvladikon/whisper-medium-he/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 755565e439e20372fdf4d76f58212ddf8fc2f15781e496c789269ca55dab2dff
- Size of remote file:
- 4.79 kB
- SHA256:
- 4ba0faf9dd70a63866eba6a63e0332682b9741e720aa8aafcf3077babc526a35
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