How to use danilotpnta/HuBERT-Genre-Clf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="danilotpnta/HuBERT-Genre-Clf")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("danilotpnta/HuBERT-Genre-Clf") model = AutoModelForAudioClassification.from_pretrained("danilotpnta/HuBERT-Genre-Clf", device_map="auto")
How to use danilotpnta/HuBERT-Genre-Clf with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("danilotpnta/HuBERT-Genre-Clf", dtype=torch.bfloat16, device_map="cuda") prompt = "DistilHuBERT, Audio Encoder, Transfer Learning" image = pipe(prompt).images[0]
