Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Italian
legal ruling
Generated from Trainer
text-embeddings-inference
Instructions to use ribesstefano/RuleBert-v0.1-k2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ribesstefano/RuleBert-v0.1-k2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ribesstefano/RuleBert-v0.1-k2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ribesstefano/RuleBert-v0.1-k2") model = AutoModelForSequenceClassification.from_pretrained("ribesstefano/RuleBert-v0.1-k2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 387f819825854ac8d1cdf5b8beaa1d01ae0f2291a3fecc38e1a9061f65c82470
- Size of remote file:
- 4.79 kB
- SHA256:
- fd4dbb964de61bc0879c7311cc46aeff4bb4f9deadfa04cdd3ec46a03e0e1106
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