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
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:373785792ea214cf934c441c86391c69454ec22741b0aa5924359ec96c36e90d
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size 794597224
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