Image Classification
timm
PyTorch
Safetensors
vision-transformer
twins_pcpvt
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/twins_pcpvt-gravit-a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/twins_pcpvt-gravit-a1 with timm:
import timm model = timm.create_model("hf_hub:parlange/twins_pcpvt-gravit-a1", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46b279df77efaea047be5f9d89435808305ab2957d9cc2101e7c2a8519421c3c
- Size of remote file:
- 173 MB
- SHA256:
- c309ba038ee4fe363b35e868bbb8646e54620a0545c2a77f7dd7bb97b79e8aa1
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