Text Classification
Transformers
PyTorch
Italian
bert
deep learning
law article retrieval
natural language processing
BERT
information retrieval
legal ai
italian civil code
text-embeddings-inference
Instructions to use AndreaSimeri/LamBERTa_v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndreaSimeri/LamBERTa_v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AndreaSimeri/LamBERTa_v5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AndreaSimeri/LamBERTa_v5") model = AutoModelForSequenceClassification.from_pretrained("AndreaSimeri/LamBERTa_v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: cc-by-nc-nd-4.0
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- deep learning
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- law article retrieval
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license: cc-by-nc-nd-4.0
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pipeline_tag: text-classification
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- deep learning
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