Instructions to use SoLID/sgd-t5-tod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SoLID/sgd-t5-tod with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SoLID/sgd-t5-tod") model = AutoModelForSeq2SeqLM.from_pretrained("SoLID/sgd-t5-tod", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 304c129c43e0647988a7c77f165926adf8229c0feae49044b8a12bd89ca2ec8d
- Size of remote file:
- 892 MB
- SHA256:
- 20eae597b8f65970519aff2f30a13890ef5c20b218d4e8a4a8ed9befc004a1b7
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