How to use diegomponte/wav2vec2-base-speech-commands-35 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="diegomponte/wav2vec2-base-speech-commands-35")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("diegomponte/wav2vec2-base-speech-commands-35") model = AutoModelForAudioClassification.from_pretrained("diegomponte/wav2vec2-base-speech-commands-35", device_map="auto")
How to use diegomponte/wav2vec2-base-speech-commands-35 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('audio-classification', 'diegomponte/wav2vec2-base-speech-commands-35');
