Translation
Transformers
PyTorch
t5
text2text-generation
chemistry
biology
text-generation-inference
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:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="AI4PD/REXzyme")# 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 checkpoint-90000/pytorch_model.bin from AI4PD/REXzyme: direct link, hf CLI and curl.
- Browser
- Download file 2.82 GB
-
https://huggingface.co/AI4PD/REXzyme/resolve/main/checkpoint-90000/pytorch_model.bin
- Command line
-
hf download hf://AI4PD/REXzyme/checkpoint-90000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AI4PD/REXzyme/resolve/main/checkpoint-90000/pytorch_model.bin
2.82 GB
- Xet hash:
- 7c410543625aaed2b9987f37f6e9a77e18e0231db090772da17b88a109b4304e
- Size of remote file:
- 2.82 GB
- SHA256:
- 852ab527d6c8685c3661438ae205ba397d546d6c7fd5b9c9bd140beddbf36f31
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