Instructions to use sagawa/ZINC-t5-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagawa/ZINC-t5-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sagawa/ZINC-t5-v2") model = AutoModelForSeq2SeqLM.from_pretrained("sagawa/ZINC-t5-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3682bf7f1c719d138bbc80da285cb5d46edb52c4288d723a15dbb0bcda2b483b
- Size of remote file:
- 794 MB
- SHA256:
- a3b5901a4fc7447ebcae6e769722743e1485dc54d3b36b10a70138b93a5a8c1c
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