Audio Classification
Transformers
Safetensors
English
eat
feature-extraction
Audio
SSL
EAT
flexEAT
audio embeddings
audio features
custom_code
Instructions to use HTill/flexEAT-base_epoch30_pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HTill/flexEAT-base_epoch30_pretrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="HTill/flexEAT-base_epoch30_pretrain", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HTill/flexEAT-base_epoch30_pretrain", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Modernize remote code for newer transformers/torch: bf16-safe SinCos2DEmbed dtype cast, device-agnostic cosine-attn clamp, drop inplace=True dropout
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