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 pytorch_model.bin from AI4PD/REXzyme: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/AI4PD/REXzyme/resolve/refs%2Fpr%2F2/pytorch_model.bin
- Command line
-
hf download hf://AI4PD/REXzyme@refs/pr/2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AI4PD/REXzyme/resolve/refs%2Fpr%2F2/pytorch_model.bin
2.95 GB
- Xet hash:
- 4e8597b85fbd3541f95f1e8d36bd283a8c966400690308ba1bdc27135ede3f89
- Size of remote file:
- 2.95 GB
- SHA256:
- 8b721a7612cdbc471803a18f3adbd9a6d308aa33729a1c0ae66442c741f2ce2d
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