Instructions to use Prompsit/paraphrase-roberta-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prompsit/paraphrase-roberta-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Prompsit/paraphrase-roberta-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Prompsit/paraphrase-roberta-es") model = AutoModelForSequenceClassification.from_pretrained("Prompsit/paraphrase-roberta-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed3ccecef771aa91eed0bc4b88456ee86d65ddbee0e378348f9ca62e74d63d4c
- Size of remote file:
- 499 MB
- SHA256:
- 47c73c5e6e7e2a1856d003f044ad44a463017df3ce54d2c58878f5abe42616eb
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