Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use htriedman/wiki-sparql-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use htriedman/wiki-sparql-models with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("htriedman/wiki-sparql-models") model = AutoModelForSeq2SeqLM.from_pretrained("htriedman/wiki-sparql-models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 171cfbcda783ac359d9b4b7b34a3e273c6ec90091a7c4ce335d8e0d3512693c0
- Size of remote file:
- 3.77 kB
- SHA256:
- 798ab7230c5d6df7561d27fd521d549065d1d3a9845bcece7112e2adac4aee87
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