Instructions to use deepset/quora_dedup_bert_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/quora_dedup_bert_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="deepset/quora_dedup_bert_base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deepset/quora_dedup_bert_base") model = AutoModel.from_pretrained("deepset/quora_dedup_bert_base") - Notebooks
- Google Colab
- Kaggle
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README.md
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This language model is trained using sentence_transformers (https://github.com/UKPLab/sentence-transformers)
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Started with bert-base-nli-stsb-mean-tokens
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Continue training on quora questions deduplication dataset (https://www.kaggle.com/c/quora-question-pairs)
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license: apache-2.0
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This language model is trained using sentence_transformers (https://github.com/UKPLab/sentence-transformers)
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Started with bert-base-nli-stsb-mean-tokens
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Continue training on quora questions deduplication dataset (https://www.kaggle.com/c/quora-question-pairs)
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