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:
- 3abd62268855aef0d2242244ac2f1848648c9aecb94868e2c5669b2d57ca60e4
- Size of remote file:
- 7.48 kB
- SHA256:
- 3490e2f7ba3f49945e5420c6e12f486d9421fb598c4a8462c06dab3fd8e25ef4
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