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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eae7f84898ea485117a5ceef9a6d0cb0cde21a200dad3aee89056a95fe7fa7f6
- Size of remote file:
- 410 MB
- SHA256:
- a582e58bf717ef419dc69f551a3c49c7df82a0268afbda7d44f49364d11e795c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.