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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Prompsit/paraphrase-roberta-es") model = AutoModelForSequenceClassification.from_pretrained("Prompsit/paraphrase-roberta-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Prompsit/paraphrase-roberta-es: direct link, hf CLI and curl.
- Browser
- Download file 1.46 MB
-
https://huggingface.co/Prompsit/paraphrase-roberta-es/resolve/3e3e000a64342f1bf35b6d94de4b099486a9ad5d/tokenizer.json
- Command line
-
hf download hf://Prompsit/paraphrase-roberta-es@3e3e000a64342f1bf35b6d94de4b099486a9ad5d/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Prompsit/paraphrase-roberta-es/resolve/3e3e000a64342f1bf35b6d94de4b099486a9ad5d/tokenizer.json
1.46 MB
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