Audio Classification
Transformers
PyTorch
TensorBoard
wav2vec2
minds14
google/xtreme_s
Generated from Trainer
Instructions to use anton-l/xtreme_s_xlsr_minds14_upd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anton-l/xtreme_s_xlsr_minds14_upd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anton-l/xtreme_s_xlsr_minds14_upd")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anton-l/xtreme_s_xlsr_minds14_upd") model = AutoModelForAudioClassification.from_pretrained("anton-l/xtreme_s_xlsr_minds14_upd", device_map="auto") - Notebooks
- Google Colab
- Kaggle