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")# pip install -U transformers accelerate # 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
Commit History
-
Update README.md
34df7f6 -
Update README.md
2c62f96 -
Update README.md
908cad0 -
Update README.md
b47eb2c -
Update README.md
0894624 -
Update config.json
bd33e4c -
Update config.json
fadf772 -
Update config.json
7453d3b -
Update README.md
76a0219
-
Update config.json
1159435 -
Update README.md
428bc46 -
Update config.json
4be1d7b -
Update README.md
3060506 -
Update README.md
081100f -
Update README.md
4f83136 -
Update README.md
fb27fd1 -
model
31e0fb1 -
Update README.md
5d0069b -
Update README.md
dc85ae0 -
initial commit
b9126f8