Instructions to use UKP-SQuARE/BART_SPARQL_KQAPro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UKP-SQuARE/BART_SPARQL_KQAPro with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("UKP-SQuARE/BART_SPARQL_KQAPro") model = AutoModelForSeq2SeqLM.from_pretrained("UKP-SQuARE/BART_SPARQL_KQAPro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b4e68b6bf6b8a2fe37b9ebcdb31a0d311fd106608c68457f324c532f7934f48
- Size of remote file:
- 558 MB
- SHA256:
- 49586397554b453d1382395a983be85ec91eea6ec18457c72a5112147b7fa97e
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