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/refs%2Fpr%2F3/tokenizer.json
- Command line
-
hf download hf://Prompsit/paraphrase-roberta-es@refs/pr/3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Prompsit/paraphrase-roberta-es/resolve/refs%2Fpr%2F3/tokenizer.json
1.46 MB
File too large to display, you can check the raw version instead.