Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Italian
legal ruling
Generated from Trainer
text-embeddings-inference
Instructions to use ribesstefano/RuleBert-v0.5-k3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ribesstefano/RuleBert-v0.5-k3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ribesstefano/RuleBert-v0.5-k3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ribesstefano/RuleBert-v0.5-k3") model = AutoModelForSequenceClassification.from_pretrained("ribesstefano/RuleBert-v0.5-k3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3dfb180c4ca4a3fc8a7b590bdeec2b9e30b956a3ae1ef2422316e581c827bf0
- Size of remote file:
- 4.79 kB
- SHA256:
- deb30dccfab14438480705410994e6f7f00ccfe98add260a9c8e3e5ab60f469d
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