Instructions to use parkervg/destt5-schema-prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parkervg/destt5-schema-prediction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("parkervg/destt5-schema-prediction") model = AutoModelForSeq2SeqLM.from_pretrained("parkervg/destt5-schema-prediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 416b898e950e8c8525d4ca70a74cf0683f25ba88074230a99f441d9a1fefaaac
- Size of remote file:
- 2.95 GB
- SHA256:
- 7afa79b7061c8846b4aa606d80ef06953ff60bf10d4c94b04ea23272f7a26e06
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