Instructions to use JulienRPA/BERT_SPARQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JulienRPA/BERT_SPARQL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JulienRPA/BERT_SPARQL")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JulienRPA/BERT_SPARQL") model = AutoModelForMaskedLM.from_pretrained("JulienRPA/BERT_SPARQL") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:2ecfe2b577fbf3f2746c0bef3ffb93d8c1eef0c5fa1b76bcffe81d823a33f28f
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size 444018700
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