Instructions to use Prompsit/paraphrase-bert-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prompsit/paraphrase-bert-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Prompsit/paraphrase-bert-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Prompsit/paraphrase-bert-en") model = AutoModelForSequenceClassification.from_pretrained("Prompsit/paraphrase-bert-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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This model allows to evaluate paraphrases for a given phrase.
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We have fine-tuned this model from pretrained "bert-base-uncased".
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# How to use it
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This model allows to evaluate paraphrases for a given phrase.
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We have fine-tuned this model from pretrained "bert-base-uncased".
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Model built under a TSI-100905-2019-4 project, co-financed by Ministry of Economic Affairs and Digital Transformation from the Government of Spain.
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# How to use it
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