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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened over 1 year ago
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SFconvertbot
Adding `safetensors` variant of this model
#3 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot