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:
# pip install -U transformers accelerate # 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
Download tokenizer.json from parkervg/destt5-schema-prediction: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/parkervg/destt5-schema-prediction/resolve/main/tokenizer.json
- Command line
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hf download hf://parkervg/destt5-schema-prediction/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/parkervg/destt5-schema-prediction/resolve/main/tokenizer.json
2.42 MB
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