Transformers
PyTorch
encoder-decoder
text2text-generation
molecule-generation
cheminformatics
targeted-drug-design
biochemical-language-models
Instructions to use gokceuludogan/WarmMolGenOne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gokceuludogan/WarmMolGenOne with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gokceuludogan/WarmMolGenOne") model = AutoModelForSeq2SeqLM.from_pretrained("gokceuludogan/WarmMolGenOne") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7e3480c500e0c96c981759c968c6cc89eaa05c2cb05346a14af1cb1827701b8
- Size of remote file:
- 767 MB
- SHA256:
- f3e70473077cb286b0a6575453fec050be6691ad74788a8923bbeec327500b3c
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