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")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AI4PD/REXzyme") model = AutoModelForSeq2SeqLM.from_pretrained("AI4PD/REXzyme") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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After converting each of the reaction components you should combine them in the following scheme: ```ReactantA.ReactantB>AgentA>ProductA.ProductB```<br/>
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Additionally, one should prepend the task suffix ```r2s``` and append the eos token ```</s>```
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e.g. for the carbonic anhydrase ```r2sO.COO>>HCOOO.[H+]</s>```
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or via this simple python script:
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After converting each of the reaction components you should combine them in the following scheme: ```ReactantA.ReactantB>AgentA>ProductA.ProductB```<br/>
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Additionally, one should prepend the task suffix ```r2s``` and append the eos token ```</s>```
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e.g. for the carbonic anhydrase reaction: ```r2sO.COO>>HCOOO.[H+]</s>```
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or via this simple python script:
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