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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JulienRPA/BERT_SPARQL") model = AutoModelForMaskedLM.from_pretrained("JulienRPA/BERT_SPARQL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5500
Browse files
pytorch_model.bin
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runs/Apr27_08-13-09_98bd7713ce50/events.out.tfevents.1682583347.98bd7713ce50.11648.0
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