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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41d689925e291cddb08f04a764a076e2c845959935142354de93f841b4a86e35
- Size of remote file:
- 1.39 GB
- SHA256:
- e963759a74784cd5442f88e29cc51e2462a1e546c370c8fb3c65b931809d7d92
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