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 requirements.txt from SpragAI/SPEV: direct link, hf CLI and curl.
- Browser
- Download file 205 Bytes
-
https://huggingface.co/SpragAI/SPEV/resolve/main/requirements.txt
- Command line
-
hf download hf://SpragAI/SPEV/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/SpragAI/SPEV/resolve/main/requirements.txt
205 Bytes
| torch==2.11.0 | |
| transformers==5.14.1 | |
| accelerate==1.12.0 | |
| safetensors==0.8.0 | |
| numpy==2.3.5 | |
| scipy==1.18.0 | |
| soundfile==0.14.0 | |
| huggingface-hub==1.26.0 | |
| pydantic==2.13.4 | |
| pillow==12.3.0 | |
| av==18.0.0 | |
| torchvision==0.26.0 | |