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:
- f9b4813968d48faa32a02251f368ef957640c0bed80404c10915134e6adf9924
- Size of remote file:
- 17.1 MB
- SHA256:
- d6f76fe13d42f80dcee0cb86a1aeb5f14f8909bb8a8782f7a4a4ad76697ef164
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