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 optimizer.pt from AI4PD/REXzyme: direct link, hf CLI and curl.
- Browser
- Download file 5.9 GB
-
https://huggingface.co/AI4PD/REXzyme/resolve/refs%2Fpr%2F3/optimizer.pt
- Command line
-
hf download hf://AI4PD/REXzyme@refs/pr/3/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/AI4PD/REXzyme/resolve/refs%2Fpr%2F3/optimizer.pt
5.9 GB
- Xet hash:
- d7a7d6aec51c4a5ced1fc2c9488b2d06dc6fcbfcacd34a39ee272c853f8999f1
- Size of remote file:
- 5.9 GB
- SHA256:
- e10483a311f320786c5f3d89ffefda83a64c8ad4e6eabe7f4762c9a3f35a239f
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