Transformers
PyTorch
face-recognition
face-generation
face-segmentation
generative-adversarial-network
Instructions to use NimaBoscarino/aot-gan-celebahq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NimaBoscarino/aot-gan-celebahq with Transformers:
# Load model directly from transformers import InpaintGenerator model = InpaintGenerator.from_pretrained("NimaBoscarino/aot-gan-celebahq", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
a174589
1
Parent(s): 26c9d88
use model saved with save_pretrained
Browse files- config.json +14 -1
- pytorch_model.bin +2 -2
config.json
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{
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{
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"architectures": [
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"InpaintGenerator"
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],
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"block_num": 8,
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"rates": [
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"torch_dtype": "float32",
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"transformers_version": "4.15.0",
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"use_cache": true
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:5362f8fee4e22fc9ce0536a81394b71967348be7d9ddf150301ec118df4478cf
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size 60846567
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