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)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("toilaluan/f2p_decoder", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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from transformers import AutoModel
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model = AutoModel.from_pretrained(
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trust_remote_code=True,
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).eval()
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from transformers import AutoModel
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model = AutoModel.from_pretrained(
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"toilaluan/f2p_decoder",
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trust_remote_code=True,
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).eval()
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