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 __pycache__/modeling_f2p_decoder.cpython-312.pyc from toilaluan/f2p_decoder: direct link, hf CLI and curl.
- Browser
- Download file 4.62 kB
-
https://huggingface.co/toilaluan/f2p_decoder/resolve/main/__pycache__/modeling_f2p_decoder.cpython-312.pyc
- Command line
-
hf download hf://toilaluan/f2p_decoder/__pycache__/modeling_f2p_decoder.cpython-312.pyc
-
curl -L -o modeling_f2p_decoder.cpython-312.pyc https://huggingface.co/toilaluan/f2p_decoder/resolve/main/__pycache__/modeling_f2p_decoder.cpython-312.pyc
4.62 kB
This file contains binary data. It cannot be displayed, but you can still download it.