Instructions to use patrickvonplaten/wav2vec2-base-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/wav2vec2-base-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="patrickvonplaten/wav2vec2-base-random")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("patrickvonplaten/wav2vec2-base-random") model = AutoModelForMultimodalLM.from_pretrained("patrickvonplaten/wav2vec2-base-random") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM
processor = AutoProcessor.from_pretrained("patrickvonplaten/wav2vec2-base-random")
model = AutoModelForMultimodalLM.from_pretrained("patrickvonplaten/wav2vec2-base-random")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="patrickvonplaten/wav2vec2-base-random")