🚀 NorBERT 3 base
NorBERT 3 base是新一代NorBERT语言模型的官方版本,该模型在论文NorBench — A Benchmark for Norwegian Language Models中有所描述。请阅读论文以了解该模型的更多细节。
🚀 快速开始
本模型目前需要来自 modeling_norbert.py
的自定义包装器,因此你应该使用 trust_remote_code=True
来加载模型。
💻 使用示例
基础用法
import torch
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("ltg/norbert3-base")
model = AutoModelForMaskedLM.from_pretrained("ltg/norbert3-base", trust_remote_code=True)
mask_id = tokenizer.convert_tokens_to_ids("[MASK]")
input_text = tokenizer("Nå ønsker de seg en[MASK] bolig.", return_tensors="pt")
output_p = model(**input_text)
output_text = torch.where(input_text.input_ids == mask_id, output_p.logits.argmax(-1), input_text.input_ids)
print(tokenizer.decode(output_text[0].tolist()))
目前实现了以下类:AutoModel
、AutoModelMaskedLM
、AutoModelForSequenceClassification
、AutoModelForTokenClassification
、AutoModelForQuestionAnswering
和 AutoModeltForMultipleChoice
。
📚 详细文档
其他尺寸模型
生成式NorT5兄弟模型
📄 许可证
本项目采用 apache-2.0
许可证。
🔖 引用我们
如果你使用了本模型,请按照以下格式引用:
@inproceedings{samuel-etal-2023-norbench,
title = "{N}or{B}ench {--} A Benchmark for {N}orwegian Language Models",
author = "Samuel, David and
Kutuzov, Andrey and
Touileb, Samia and
Velldal, Erik and
{\O}vrelid, Lilja and
R{\o}nningstad, Egil and
Sigdel, Elina and
Palatkina, Anna",
booktitle = "Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)",
month = may,
year = "2023",
address = "T{\'o}rshavn, Faroe Islands",
publisher = "University of Tartu Library",
url = "https://aclanthology.org/2023.nodalida-1.61",
pages = "618--633",
abstract = "We present NorBench: a streamlined suite of NLP tasks and probes for evaluating Norwegian language models (LMs) on standardized data splits and evaluation metrics. We also introduce a range of new Norwegian language models (both encoder and encoder-decoder based). Finally, we compare and analyze their performance, along with other existing LMs, across the different benchmark tests of NorBench.",
}