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") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -6,4 +6,4 @@ license: apache-2.0
|
|
| 6 |
|
| 7 |
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.
|
| 8 |
|
| 9 |
-
Find the details and how to use at https://github.com/datamol-io/safe.
|
|
|
|
| 6 |
|
| 7 |
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.
|
| 8 |
|
| 9 |
+
Find the details and how to use at SAFE in the repo https://github.com/datamol-io/safe or the paper https://arxiv.org/pdf/2310.10773.pdf.
|