Text Classification
Transformers
PyTorch
Catalan
roberta
catalan
paraphrase
textual entailment
Eval Results (legacy)
text-embeddings-inference
Instructions to use projecte-aina/roberta-large-ca-paraphrase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/roberta-large-ca-paraphrase with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="projecte-aina/roberta-large-ca-paraphrase")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("projecte-aina/roberta-large-ca-paraphrase") model = AutoModelForSequenceClassification.from_pretrained("projecte-aina/roberta-large-ca-paraphrase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ac577c7d0ac6dccb6674ded498667aa95cf6f81847598f4f4971765e1db46d3
- Size of remote file:
- 1.42 GB
- SHA256:
- 49a4b62f251baff1449d840251b3bd5691c06f1b83570d030c5063a2bb1289a2
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