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 GoNotoCurrent.ttf from lyan62/ar_norm_input_cosine: direct link, hf CLI and curl.
- Browser
- Download file 15.6 MB
-
https://huggingface.co/lyan62/ar_norm_input_cosine/resolve/main/GoNotoCurrent.ttf
- Command line
-
hf download hf://lyan62/ar_norm_input_cosine/GoNotoCurrent.ttf
-
curl -L -o GoNotoCurrent.ttf https://huggingface.co/lyan62/ar_norm_input_cosine/resolve/main/GoNotoCurrent.ttf
15.6 MB
- Xet hash:
- d205399404397f2308687fb6c0471436236a83bd2a5601fd5d95c9644a0216d4
- Size of remote file:
- 15.6 MB
- SHA256:
- 83ab5c39e2b1c34a955136275ce0db068cb20d9643ead033d6b8124a73ab4f64
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