Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use RonTon05/Roberta-CLS-URL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RonTon05/Roberta-CLS-URL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RonTon05/Roberta-CLS-URL")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RonTon05/Roberta-CLS-URL") model = AutoModelForSequenceClassification.from_pretrained("RonTon05/Roberta-CLS-URL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5febba163561cd15452c2fc0aa2b5d44f505abc198ca643a451d8d00e1da683
- Size of remote file:
- 4.86 kB
- SHA256:
- e2a0d6445759851ea5d571cb315f99b0f27db9f667510f06e090fa06f64dc3ef
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