Instructions to use OpenVINO/distil-medium.en-fp16-ov with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenVINO/distil-medium.en-fp16-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-fp16-ov")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("OpenVINO/distil-medium.en-fp16-ov") model = AutoModelForSpeechSeq2Seq.from_pretrained("OpenVINO/distil-medium.en-fp16-ov") - Transformers.js
How to use OpenVINO/distil-medium.en-fp16-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-fp16-ov'); - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36b94b79a0415c4f0942abab6a389dfb8c062874d29849d5ff97d0768f0fdc4f
- Size of remote file:
- 1.93 MB
- SHA256:
- 2c5ae30c07da412222db1194d9d0e22c1f78d77eac7eaf5a7fed332649a8d0a9
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