Transformers
TensorBoard
Safetensors
encoder-decoder
text2text-generation
PROTAC
cheminformatics
Generated from Trainer
Instructions to use ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine-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_cosine-opt25-rand-smiles with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine-opt25-rand-smiles") model = AutoModelForSeq2SeqLM.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine-opt25-rand-smiles") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7f89b9f275ed68cab54c9d57f592af86c2e53fc1ad3f47396e7ebdf89ad31cc
- Size of remote file:
- 7.48 kB
- SHA256:
- 9e516a35e56487ee3000e6ce07e244c74826c1e9427934404d1d2cc6d84aa7dc
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