Instructions to use Orange/bart-base-sparqltotext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Orange/bart-base-sparqltotext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Orange/bart-base-sparqltotext")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Orange/bart-base-sparqltotext") model = AutoModel.from_pretrained("Orange/bart-base-sparqltotext") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5bc62c8ff88537eb1e476b87558b60c46d1b3f09a9d38cd1bc447ec07ea80057
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size 557710008
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