Feature Extraction
Transformers
Safetensors
f2p_decoder
vision
image-reconstruction
siglip2
custom_code
Instructions to use toilaluan/f2p_decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toilaluan/f2p_decoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="toilaluan/f2p_decoder", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("toilaluan/f2p_decoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from toilaluan/f2p_decoder: direct link, hf CLI and curl.
- Browser
- Download file 91 Bytes
-
https://huggingface.co/toilaluan/f2p_decoder/resolve/main/.gitattributes
- Command line
-
hf download hf://toilaluan/f2p_decoder/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/toilaluan/f2p_decoder/resolve/main/.gitattributes
91 Bytes
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| *.pt filter=lfs diff=lfs merge=lfs -text | |