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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3b416aee1761993a940d736dd6090a38b5c96584adb92476f36c12b89543394
- Size of remote file:
- 4.79 kB
- SHA256:
- ffbef30dded80bb1fb6c1bafda8ff435451a67434a47238bca24230889797d1f
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