Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Italian
legal ruling
Generated from Trainer
text-embeddings-inference
Instructions to use ribesstefano/RuleBert-v0.4-k3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ribesstefano/RuleBert-v0.4-k3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ribesstefano/RuleBert-v0.4-k3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ribesstefano/RuleBert-v0.4-k3") model = AutoModelForSequenceClassification.from_pretrained("ribesstefano/RuleBert-v0.4-k3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0973a442b1360edb3198176c2b271d8335f3c6739f6f41de79bbaba949fa3c75
- Size of remote file:
- 4.79 kB
- SHA256:
- bed14db4a54193145618545c8d26f61df5f3c31368e9f5ee245896a337125ded
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