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/training_args.bin from ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-rand-smiles: direct link, hf CLI and curl.
- Browser
- Download file 7.48 kB
-
https://huggingface.co/ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-rand-smiles/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-rand-smiles/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-rand-smiles/resolve/main/last-checkpoint/training_args.bin
7.48 kB
- Xet hash:
- 3abd62268855aef0d2242244ac2f1848648c9aecb94868e2c5669b2d57ca60e4
- Size of remote file:
- 7.48 kB
- SHA256:
- 3490e2f7ba3f49945e5420c6e12f486d9421fb598c4a8462c06dab3fd8e25ef4
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