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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 824f112bfbfacf8081945b26cf33aaa5eeea0f5ca0bc7ce5ad9fae68fbedfa0a
- Size of remote file:
- 438 MB
- SHA256:
- f98b5d44ad650a442cab2f11e39298c033f73e2ba913530319015a8163a156dc
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