Instructions to use lyan62/ar_norm_input_cosine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lyan62/ar_norm_input_cosine with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import PIXELAR model = PIXELAR.from_pretrained("lyan62/ar_norm_input_cosine", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from lyan62/ar_norm_input_cosine: direct link, hf CLI and curl.
- Browser
- Download file 201 MB
-
https://huggingface.co/lyan62/ar_norm_input_cosine/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://lyan62/ar_norm_input_cosine/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lyan62/ar_norm_input_cosine/resolve/main/pytorch_model.bin
201 MB
- Xet hash:
- 882a7969357b7d544bd3e23ec96adecc8e911e2001ee553525bfa755f41a2af0
- Size of remote file:
- 201 MB
- SHA256:
- b1420ef536f29364736b64e6b013986d649ee5c16564b6e00d08c0b954558aad
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