Instructions to use ShawnyPapa77/cpeg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShawnyPapa77/cpeg with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShawnyPapa77/cpeg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ablations/before_patch_encoder/tokenizer.json from ShawnyPapa77/cpeg: direct link, hf CLI and curl.
- Browser
- Download file 8.34 MB
-
https://huggingface.co/ShawnyPapa77/cpeg/resolve/main/ablations/before_patch_encoder/tokenizer.json
- Command line
-
hf download hf://ShawnyPapa77/cpeg/ablations/before_patch_encoder/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ShawnyPapa77/cpeg/resolve/main/ablations/before_patch_encoder/tokenizer.json
8.34 MB
File too large to display, you can check the raw version instead.