Instructions to use mglaser99/seq2sparql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mglaser99/seq2sparql with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mglaser99/seq2sparql") model = AutoModelForSeq2SeqLM.from_pretrained("mglaser99/seq2sparql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d36989df78da7f52fcf51cbfa29cb9d4357236797ef61200babde1b52a072f1a
- Size of remote file:
- 892 MB
- SHA256:
- 48ef0b9ea9247a2d244519390a8b514c0a6cc430f123480be143583eac638368
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