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:
- 919fda572ae52c7a3ab68e357a4db4e98e904c4291ff888800b13051b6ef2d7d
- Size of remote file:
- 2.8 kB
- SHA256:
- 0a5bc90de40c0c9489ac705d5176d0991e203c34e0c667b2630a0bdcdffe6854
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