Automatic Speech Recognition
Transformers
ONNX
Safetensors
Transformers.js
Hebrew
whisper
hebrew
speech-recognition
webgpu
Instructions to use itayinbar/whisper-base-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itayinbar/whisper-base-he with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="itayinbar/whisper-base-he")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("itayinbar/whisper-base-he") model = AutoModelForSpeechSeq2Seq.from_pretrained("itayinbar/whisper-base-he", device_map="auto") - Transformers.js
How to use itayinbar/whisper-base-he with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'itayinbar/whisper-base-he'); - Notebooks
- Google Colab
- Kaggle
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