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:
# pip install -U transformers accelerate # 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
Download optimizer.pt from UKP-SQuARE/BART_SPARQL_KQAPro: direct link, hf CLI and curl.
- Browser
- Download file 1.12 GB
-
https://huggingface.co/UKP-SQuARE/BART_SPARQL_KQAPro/resolve/main/optimizer.pt
- Command line
-
hf download hf://UKP-SQuARE/BART_SPARQL_KQAPro/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/UKP-SQuARE/BART_SPARQL_KQAPro/resolve/main/optimizer.pt
1.12 GB
- Xet hash:
- 04f382f83c12bd33f9bde0d4685d96df8fbe1f472710d9abed3c96936e355c6e
- Size of remote file:
- 1.12 GB
- SHA256:
- fe22b0532f22a587c7c4170a3de274059aa61ab4091d8947cc4cc3553c64279e
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