Instructions to use datamol-io/safe-gpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datamol-io/safe-gpt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("datamol-io/safe-gpt") model = AutoModel.from_pretrained("datamol-io/safe-gpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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license: apache-2.0
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# SAFE
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Sequential Attachment-based Fragment Embedding (SAFE) is a novel molecular line notation that represents molecules as an unordered sequence of fragment blocks to improve molecule design using generative models.
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Find the details and how to use at https://github.com/datamol-io/safe.
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