A BERT model pre-trained on a huge corpus of computer networking text (~23Gb).
You can use NetBERT with 🤗 transformers:
import torch
from transformers import BertTokenizer, BertForMaskedLM
# Load pretrained model and tokenizer
model = BertForMaskedLM.from_pretrained("antoiloui/netbert")
tokenizer = BertTokenizer.from_pretrained("antoiloui/netbert")Detailed documentation on the pre-trained model, its implementation, and the data can be found here.
For attribution in academic contexts, please cite this work as:
@mastersthesis{louis2020netbert,
author = {Antoine Louis},
title = {NetBERT: A Pre-trained Language Representation Model for Computer Networking},
school = {University of Liège},
address = {Liège, Belgium},
year = {2020},
url = {http://hdl.handle.net/2268.2/9060}
}
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