Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Italian
legal ruling
Generated from Trainer
text-embeddings-inference
Instructions to use ribesstefano/RuleBert-v0.5-k2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ribesstefano/RuleBert-v0.5-k2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ribesstefano/RuleBert-v0.5-k2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ribesstefano/RuleBert-v0.5-k2") model = AutoModelForSequenceClassification.from_pretrained("ribesstefano/RuleBert-v0.5-k2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 567d7266bb6b5bcdcef4798eea755b6495c92b29d7895030eacb4663cc97304a
- Size of remote file:
- 4.79 kB
- SHA256:
- 34155f63dee9bc8358a01c74caa589ae5f0ce92a400aa47a3aca81c4106b2596
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