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
File size: 358 Bytes
7381480 | 1 2 3 4 5 | # Third-party notices
- [Qwen3-Omni-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Instruct) — Qwen Team / Alibaba Cloud. [Apache-2.0](LICENSE). Modified for SPEV.
- [AMI Meeting Corpus](https://groups.inf.ed.ac.uk/ami/corpus/) — AMI Consortium. [CC BY 4.0](https://groups.inf.ed.ac.uk/ami/corpus/license.shtml). Adapted for training.
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