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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbc8d1cb6dafe1fdf3943a0c820f5b9cc77b3cd065c68388fb15896ff64c3b9f
- Size of remote file:
- 815 MB
- SHA256:
- 4f43d22e423b199a38aeefb252724e8de13301e11ab471022f3c5e8ae4ef1456
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