Transformers
TensorBoard
Safetensors
encoder-decoder
text2text-generation
PROTAC
cheminformatics
Generated from Trainer
Instructions to use ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-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-rand-smiles with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-rand-smiles") model = AutoModelForSeq2SeqLM.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-rand-smiles", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02dfff18900a3e314e6533a49b8a645c74775e93df9e30773dc10ed5f857aba0
- Size of remote file:
- 410 MB
- SHA256:
- 401ff774e1158537c2e23c84fee096252b23090c0993e91652c5251f19f20f7f
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