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 training_args.bin from AI4PD/REXzyme: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/AI4PD/REXzyme/resolve/refs%2Fpr%2F2/training_args.bin
- Command line
-
hf download hf://AI4PD/REXzyme@refs/pr/2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AI4PD/REXzyme/resolve/refs%2Fpr%2F2/training_args.bin
3.57 kB
- Xet hash:
- 9a3446decdc4a894e9cb23392286672b10f276458c15afb85aad2b868179d388
- Size of remote file:
- 3.57 kB
- SHA256:
- fd605798bf354f11dfa3f393e3276acf6c745c46fd47ac5be9878866f43c65e8
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