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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78304f5db54a67f3a97d805d44589924b5221c83d0d21b1265a80872d2ecaa13
- Size of remote file:
- 794 MB
- SHA256:
- 77358d076a8337b4e4a6b5f3e4ae7b56e9258d1325082b7d9d07c8c14680a1c0
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