Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Italian
legal ruling
Generated from Trainer
text-embeddings-inference
Instructions to use ribesstefano/RuleBert-v0.2-k0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ribesstefano/RuleBert-v0.2-k0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ribesstefano/RuleBert-v0.2-k0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ribesstefano/RuleBert-v0.2-k0") model = AutoModelForSequenceClassification.from_pretrained("ribesstefano/RuleBert-v0.2-k0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 768034c2471c3ec97146a72eeb6f3f5cca8865619b21ce5c92f1130884ba2123
- Size of remote file:
- 4.79 kB
- SHA256:
- 0264de8903a39797f4341a1200f207d511a304b358ff04d3674582665636005b
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