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
Upload tokenizer
Browse files
README.md
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---
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library_name: transformers
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license: mit
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base_model: seyonec/ChemBERTa-zinc-base-v1
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tags:
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- PROTAC
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- cheminformatics
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---
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base_model: seyonec/ChemBERTa-zinc-base-v1
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library_name: transformers
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license: mit
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tags:
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- PROTAC
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- cheminformatics
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