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
Download MANIFEST.json from SpragAI/SPEV: direct link, hf CLI and curl.
- Browser
- Download file 5.34 kB
-
https://huggingface.co/SpragAI/SPEV/resolve/main/MANIFEST.json
- Command line
-
hf download hf://SpragAI/SPEV/MANIFEST.json
-
curl -L -o MANIFEST.json https://huggingface.co/SpragAI/SPEV/resolve/main/MANIFEST.json
5.34 kB
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