Transformers
TensorBoard
Safetensors
encoder-decoder
text2text-generation
PROTAC
cheminformatics
Generated from Trainer
Instructions to use ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-opt25-rand-smiles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-opt25-rand-smiles with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-opt25-rand-smiles") model = AutoModelForSeq2SeqLM.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-opt25-rand-smiles", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73bf9e65c66687efb9d0b6e79020e3c8338712ca8b9e80b3a4c4ea2d72ebae6c
- Size of remote file:
- 7.54 kB
- SHA256:
- 029e9519837cd9c702131829d4b707092d76dd219fffcb91e93c74c3cf895f50
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