Transformers
TensorBoard
Safetensors
encoder-decoder
text2text-generation
PROTAC
cheminformatics
Generated from Trainer
Instructions to use ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine-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_cosine-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_cosine-rand-smiles") model = AutoModelForSeq2SeqLM.from_pretrained("ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine-rand-smiles", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine-rand-smiles: direct link, hf CLI and curl.
- Browser
- Download file 7.42 kB
-
https://huggingface.co/ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine-rand-smiles/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine-rand-smiles/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine-rand-smiles/resolve/main/last-checkpoint/training_args.bin
7.42 kB
- Xet hash:
- 80b3e6ae8cc137f559c0ffb867208ae1c37f0aa950ab5e9c662e9cc3dfdc08cd
- Size of remote file:
- 7.42 kB
- SHA256:
- 1ba0aa9438e0ac0ce63a77340d850e774a79463ed56812ac99891cbc91e93eb3
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