Transformers
TensorBoard
Safetensors
encoder-decoder
text2text-generation
PROTAC
cheminformatics
Generated from Trainer
Instructions to use ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-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-rand-smiles with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-rand-smiles") model = AutoModelForSeq2SeqLM.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-rand-smiles", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-rand-smiles: direct link, hf CLI and curl.
- Browser
- Download file 815 MB
-
https://huggingface.co/ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-rand-smiles/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-rand-smiles/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-rand-smiles/resolve/main/last-checkpoint/optimizer.pt
815 MB
- Xet hash:
- 794a735db73f45b0050bc709ebeefeac8c32098d5013ba4a840dd1abcadf9d9f
- Size of remote file:
- 815 MB
- SHA256:
- ad69ae9846879e2de23ee8a30ca6ed32285d123dffc0d12cb42913c69032c1fe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.