Instructions to use AI4PD/REXzyme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4PD/REXzyme with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AI4PD/REXzyme") model = AutoModelForSeq2SeqLM.from_pretrained("AI4PD/REXzyme", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download first_dataset.json from AI4PD/REXzyme: direct link, hf CLI and curl.
- Browser
- Download file 24 GB
-
https://huggingface.co/AI4PD/REXzyme/resolve/refs%2Fpr%2F8/first_dataset.json
- Command line
-
hf download hf://AI4PD/REXzyme@refs/pr/8/first_dataset.json
-
curl -L -o first_dataset.json https://huggingface.co/AI4PD/REXzyme/resolve/refs%2Fpr%2F8/first_dataset.json
24 GB
- Xet hash:
- d0eaecee8f8dc38212ea0bd7cd24d1182acf5fe89d3de0cb8915f8ca071a14c6
- Size of remote file:
- 24 GB
- SHA256:
- 871a4fe9ca279784e0a100891859d9b079f2da7a9efc1fd2dfaf63e16e5cb197
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