Image Classification
timm
PyTorch
Safetensors
vision-transformer
cait
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/cait-gravit-b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/cait-gravit-b2 with timm:
import timm model = timm.create_model("hf_hub:parlange/cait-gravit-b2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from parlange/cait-gravit-b2: direct link, hf CLI and curl.
- Browser
- Download file 186 MB
-
https://huggingface.co/parlange/cait-gravit-b2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://parlange/cait-gravit-b2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/parlange/cait-gravit-b2/resolve/main/pytorch_model.bin
186 MB
- Xet hash:
- b470e7c66f108c93862bca746c453af20117cf0bc9ad762c23f2d8821a5620b9
- Size of remote file:
- 186 MB
- SHA256:
- 27263294345dbc4c37ca74dac3e9b495b60fa869f21ec2ff877e879cbb5dea4b
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