Transformers
TensorBoard
Safetensors
encoder-decoder
text2text-generation
PROTAC
cheminformatics
Generated from Trainer
Instructions to use ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-opt25 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 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-opt25") model = AutoModelForSeq2SeqLM.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-opt25") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61b7a996607cc2b1b5488ecb03a5666c7ae19963f9e87154d1e5e7238db04732
- Size of remote file:
- 7.42 kB
- SHA256:
- dcb7bfc978254f0312b2a392a15fc5cd00c5803ad7cc88491d0b6f6dd53c348b
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