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
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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](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. | |