Instructions to use OpenVINO/distil-medium.en-int8-ov with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenVINO/distil-medium.en-int8-ov with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="OpenVINO/distil-medium.en-int8-ov")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("OpenVINO/distil-medium.en-int8-ov") model = AutoModelForSpeechSeq2Seq.from_pretrained("OpenVINO/distil-medium.en-int8-ov") - Transformers.js
How to use OpenVINO/distil-medium.en-int8-ov with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'OpenVINO/distil-medium.en-int8-ov'); - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e880c09e276054531e22b04eca6674ac4fd0a580b307a3b4cbc1e26994d2cb9b
- Size of remote file:
- 313 MB
- SHA256:
- 675259dfb1acd080c77abd875d777cf8fb27a899a7d866de25d784699550ad2f
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