Transformers
TensorBoard
Safetensors
encoder-decoder
text2text-generation
PROTAC
cheminformatics
Generated from Trainer
Instructions to use ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine-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_cosine-opt25 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine-opt25") model = AutoModelForSeq2SeqLM.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine-opt25", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b86733700d47e4ba0ce981365a49b6fc64c78cdcd073a7714de010c210a2e525
- Size of remote file:
- 7.42 kB
- SHA256:
- 5ac169b397e739ab4891bcf75d92fc870af0698d5a104d149ab194bce478f6e0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.