Transformers
TensorBoard
Safetensors
encoder-decoder
text2text-generation
PROTAC
cheminformatics
Generated from Trainer
Instructions to use ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine_restarts-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_restarts-opt25 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine_restarts-opt25") model = AutoModelForSeq2SeqLM.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine_restarts-opt25") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 512e4db4618f9380f182192159e428eb5226b361832e31275b07b45f3e621299
- Size of remote file:
- 815 MB
- SHA256:
- 1421f8a6f8268090420494cdc473157e33e5a95eb2581bbb884f6c346b7fa58a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.