Feature Extraction
Transformers
English
audio-text-retrieval
audio-retrieval
clap
multimodal-llm
lora
acl2026
Instructions to use JudeJiwoo/OEA-Qwen3B-AC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JudeJiwoo/OEA-Qwen3B-AC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="JudeJiwoo/OEA-Qwen3B-AC")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JudeJiwoo/OEA-Qwen3B-AC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download step_350.pt from JudeJiwoo/OEA-Qwen3B-AC: direct link, hf CLI and curl.
- Browser
- Download file 9.47 GB
-
https://huggingface.co/JudeJiwoo/OEA-Qwen3B-AC/resolve/main/step_350.pt
- Command line
-
hf download hf://JudeJiwoo/OEA-Qwen3B-AC/step_350.pt
-
curl -L -o step_350.pt https://huggingface.co/JudeJiwoo/OEA-Qwen3B-AC/resolve/main/step_350.pt
9.47 GB
- Xet hash:
- 99deb9f3da0d7d17e847e5586de9cbbd47a59a84ffdb49da1ba51d2e0a781f15
- Size of remote file:
- 9.47 GB
- SHA256:
- afb22d02e610016184fa0e2b4314fe0de191ebcc909184e9e128d36abade4b44
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