Transformers
PyTorch
English
t5
text2text-generation
chemistry
SMILES
product
text-generation-inference
Instructions to use sagawa/ReactionT5v1-forward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagawa/ReactionT5v1-forward with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sagawa/ReactionT5v1-forward") model = AutoModelForSeq2SeqLM.from_pretrained("sagawa/ReactionT5v1-forward", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
75d39b9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3b930052e718a6a0a4262e9fdd891e0c264feb4028deec7a421dc7f3325d07e6
size 794658765
|