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
Commit ·
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Parent(s): 90f0472
Update README.md
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README.md
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| Method | Natural | Generated <sup>[1]</sup> |
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| **IUPRED3 (ordered)** | 99.9% | 99.9% |
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| **ESMFold (avg. plddt)**
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| **FlDPnn** |
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<sup>[1]|</sup> We excluded sequences with %identities ≥ 70% and pLDDTs < 60%.
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| Method | Natural | Generated <sup>[1]</sup> |
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| :--- | :----: | ---: |
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| **IUPRED3 (ordered)** | 99.9% | 99.9% |
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| **ESMFold (avg. plddt)** | 85.03 | 79.82 |
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| **FlDPnn** | 0.0878 | 0.0929 |
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<sup>[1]|</sup> We excluded sequences with %identities ≥ 70% and pLDDTs < 60%.
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