Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Italian
legal ruling
Generated from Trainer
text-embeddings-inference
Instructions to use ribesstefano/RuleBert-v0.5-k1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ribesstefano/RuleBert-v0.5-k1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ribesstefano/RuleBert-v0.5-k1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ribesstefano/RuleBert-v0.5-k1") model = AutoModelForSequenceClassification.from_pretrained("ribesstefano/RuleBert-v0.5-k1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ribesstefano/RuleBert-v0.5-k1: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/ribesstefano/RuleBert-v0.5-k1/resolve/main/training_args.bin
- Command line
-
hf download hf://ribesstefano/RuleBert-v0.5-k1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ribesstefano/RuleBert-v0.5-k1/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 84bc6b1a9c19bb48755119833f97e10d7faf887e1af8386055e90dfbca943fc1
- Size of remote file:
- 4.79 kB
- SHA256:
- 32da8632d6b51b37603fd2a3ae487acb56ea09e236d7d761cbfb438ee9479590
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