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ggomarr/
legal-bert-base-uncased-safetensors

Name: legal-bert-base-uncased-safetensors
Availability: InStock

text-embeddings-inference

endpoints_compatible

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Legal-BERT Base Uncased (Safetensors)

This is a safetensors serialization of the model nlpaueb/legal-bert-base-uncased. It is functionally identical to the original, but uses the safetensors format for:

Faster and safer loading
Avoiding pickle security issues
Compatibility with Hugging Face’s recommended serialization format

Model Details

Base model: nlpaueb/legal-bert-base-uncased
Architecture: BERT (encoder-only, uncased)
License: CC-BY-SA-4.0 (see LICENSE)
Author of original model: NLP at AUEB group
Conversion: Converted to safetensors using transformers with safe_serialization=True.

Usage

python

from transformers import AutoTokenizer, AutoModel

repo\_id = "your-username/legal-bert-base-uncased-safetensors"

tokenizer = AutoTokenizer.from\_pretrained(repo\_id)
model = AutoModel.from\_pretrained(repo\_id)

inputs = tokenizer("The court finds the defendant guilty.", return\_tensors="pt")
outputs = model(\*\*inputs)

The outputs are identical to the PyTorch .bin version of the model.

Citation

bibtex

@article{chalkidis2020legal,
title={LEGAL-BERT: The Muppets straight out of Law School},
author={Chalkidis, Ilias and Fergadiotis, Manos and Malakasiotis, Prodromos and Aletras, Nikolaos and Androutsopoulos, Ion},
journal={arXiv preprint arXiv:2010.02559},
year={2020}
}

License

This model is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License, in accordance with the license of the original legal-bert-base-uncased model.

ggomarr/legal-bert-base-uncased-safetensors