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:
- b9bf7057e5841a1a995e79d2bfb63f8b34ce340096c3ceeffa602ec619cd92ac
- Size of remote file:
- 892 MB
- SHA256:
- a707343353054e80a2604d034cdc8f317ddf95ca71372b49e1681a6b004ae8b1
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