Audio Classification
Transformers
PyTorch
Safetensors
wav2vec2
pretraining
music
audio
speech
audio-representation-learning
arch-benchmark
general-audio
Instructions to use ALM/wav2vec2-large-audioset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ALM/wav2vec2-large-audioset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ALM/wav2vec2-large-audioset")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("ALM/wav2vec2-large-audioset") model = AutoModelForPreTraining.from_pretrained("ALM/wav2vec2-large-audioset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
eeaa93e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:afa441a248197177de941ced743408f8012b8d3b7147780617f57df8fbaa222a
size 1269705025
|