Instructions to use mazkooleg/0-9up-data2vec-audio-base-960h-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mazkooleg/0-9up-data2vec-audio-base-960h-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="mazkooleg/0-9up-data2vec-audio-base-960h-ft")# Load model directly from transformers import AutoTokenizer, AutoModelForAudioClassification tokenizer = AutoTokenizer.from_pretrained("mazkooleg/0-9up-data2vec-audio-base-960h-ft") model = AutoModelForAudioClassification.from_pretrained("mazkooleg/0-9up-data2vec-audio-base-960h-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened over 1 year ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#1 opened over 2 years ago
by
librarian-bot