Any-to-Any
Transformers
Safetensors
multilingual
spev
feature-extraction
multimodal
text
audio
image
video
decision-model
choice
qwen3-omni
lora
custom-code
custom_code
Instructions to use SpragAI/SPEV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpragAI/SPEV with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SpragAI/SPEV", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download THIRD_PARTY_NOTICES.md from SpragAI/SPEV: direct link, hf CLI and curl.
- Browser
- Download file 358 Bytes
-
https://huggingface.co/SpragAI/SPEV/resolve/main/THIRD_PARTY_NOTICES.md
- Command line
-
hf download hf://SpragAI/SPEV/THIRD_PARTY_NOTICES.md
-
curl -L -o THIRD_PARTY_NOTICES.md https://huggingface.co/SpragAI/SPEV/resolve/main/THIRD_PARTY_NOTICES.md
358 Bytes
Third-party notices
- Qwen3-Omni-30B-A3B-Instruct — Qwen Team / Alibaba Cloud. Apache-2.0. Modified for SPEV.
- AMI Meeting Corpus — AMI Consortium. CC BY 4.0. Adapted for training.