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
Download optimizer.pt from parkervg/destt5-schema-prediction: direct link, hf CLI and curl.
- Browser
- Download file 5.38 MB
-
https://huggingface.co/parkervg/destt5-schema-prediction/resolve/main/optimizer.pt
- Command line
-
hf download hf://parkervg/destt5-schema-prediction/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/parkervg/destt5-schema-prediction/resolve/main/optimizer.pt
5.38 MB
- Xet hash:
- 957c5621f6adbee4d0720002aa19ce5bf84b35fa948e270861613dbdb5cd3ec6
- Size of remote file:
- 5.38 MB
- SHA256:
- da5b9e0db6eea430e62a8fdd9f1d5f4101cec502229cd72e63b74c2301829dae
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