Instructions to use BenShermaister/whisper-tiny-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenShermaister/whisper-tiny-he with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BenShermaister/whisper-tiny-he")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("BenShermaister/whisper-tiny-he") model = AutoModelForSpeechSeq2Seq.from_pretrained("BenShermaister/whisper-tiny-he", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f528fe364c7703a9d7dda92e419f6a4020d6917f8b6ef989c26641da881e4c90
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size 290403936
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