Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Italian
legal ruling
Generated from Trainer
text-embeddings-inference
Instructions to use ribesstefano/RuleBert-v0.1-k4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ribesstefano/RuleBert-v0.1-k4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ribesstefano/RuleBert-v0.1-k4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ribesstefano/RuleBert-v0.1-k4") model = AutoModelForSequenceClassification.from_pretrained("ribesstefano/RuleBert-v0.1-k4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 582140203a37f36c81df09d5e3b7917c3e7c1d2f8d91dca7b8caff1414def638
- Size of remote file:
- 4.79 kB
- SHA256:
- a837119b5033319c3c262db2ca67bcf0682ba12933e165c69d7abb6dda0a46e3
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