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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc79d9432f25bc0df774e33859faecce754d325cb05b21b0348608a31e979312
- Size of remote file:
- 7.54 kB
- SHA256:
- 3fb53e5e8cd5ad3dc5f594c48bdfd22a6fa924f20a1441dc26739379ff2bf120
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