Instructions to use Orange/t5-base-sparqltotext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Orange/t5-base-sparqltotext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Orange/t5-base-sparqltotext")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Orange/t5-base-sparqltotext") model = AutoModel.from_pretrained("Orange/t5-base-sparqltotext", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Orange/t5-base-sparqltotext: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Orange/t5-base-sparqltotext/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Orange/t5-base-sparqltotext/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Orange/t5-base-sparqltotext/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 72ddea92f49b831c18eef7f1dc72892aec24bcc268c89dc9ffa1bddaf2ace36f
- Size of remote file:
- 892 MB
- SHA256:
- e754cabe518cc9909d4794eeb2045ad3a219a7c00ddff338083cac0247d813cd
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