Feature Extraction
Transformers
Safetensors
qwen3_asr_encoder_portable
duplexjev
audio
asr-encoder
custom_code
Instructions to use adventists-ai/Qwen3-ASR-0.6B-Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adventists-ai/Qwen3-ASR-0.6B-Encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="adventists-ai/Qwen3-ASR-0.6B-Encoder", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("adventists-ai/Qwen3-ASR-0.6B-Encoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Qwen3-ASR-0.6B-Encoder
The audio encoder of Qwen/Qwen3-ASR-0.6B, extracted as a standalone
transformers model (trust_remote_code=True), 18 layers, d_model 896. Weights are unchanged from Qwen3-ASR-0.6B.
The plain encoder, used by the last-layer (B) connectors.
Used by: DuplexJev-B-* (last-layer connectors). You normally do not load it yourself: Decider.from_pretrained("adventists-ai/DuplexJev-...") fetches it.
License: Apache-2.0, as the original Qwen3-ASR-0.6B. See https://github.com/adventists-ai/duplexjev.
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Model tree for adventists-ai/Qwen3-ASR-0.6B-Encoder
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Qwen/Qwen3-ASR-0.6B