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:
- 63a7f33dc549c02a82e2fdba53dab6b40d12a76359fdfce61ff5162ffb115b6a
- Size of remote file:
- 87.5 MB
- SHA256:
- 0b8beff0558343268ee545161c1a8dffb1937f96a4c3364e5b8bdd35936bcc02
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