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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "roberta", | |
| "max_position_embeddings": 514, | |
| "type_vocab_size": 1, | |
| "vocab_size": 10261 | |
| } | |