Instructions to use Aspik101/w2v-bert-2.0-polish-CV16.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aspik101/w2v-bert-2.0-polish-CV16.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Aspik101/w2v-bert-2.0-polish-CV16.0")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Aspik101/w2v-bert-2.0-polish-CV16.0") model = AutoModelForCTC.from_pretrained("Aspik101/w2v-bert-2.0-polish-CV16.0", device_map="auto") - Transformers.js
How to use Aspik101/w2v-bert-2.0-polish-CV16.0 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'Aspik101/w2v-bert-2.0-polish-CV16.0'); - Notebooks
- Google Colab
- Kaggle
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