Norbert3 Xs

🚀 NorBERT 3 xs

NorBERT 3 xs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中有详细描述。若想了解该模型的更多细节，请阅读此论文。

🚀 快速开始

NorBERT 3 xs是基于挪威语的语言模型，在多种自然语言处理任务中表现出色。它提供了不同大小的版本，以满足不同场景的需求。

✨ 主要特性

• 多版本选择：提供了不同大小的版本，包括xs、small、base和large，可根据实际需求选择合适的模型。
• 多种任务支持：实现了多种类，如AutoModel、AutoModelMaskedLM、AutoModelForSequenceClassification等，支持多种自然语言处理任务。

📦 相关模型链接

其他尺寸的NorBERT 3模型

• NorBERT 3 xs (15M)
• NorBERT 3 small (40M)
• NorBERT 3 base (123M)
• NorBERT 3 large (323M)

生成式NorT5系列模型

• NorT5 xs (32M)
• NorT5 small (88M)
• NorT5 base (228M)
• NorT5 large (808M)

💻 使用示例

基础用法

import torch
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("ltg/norbert3-xs")
model = AutoModelForMaskedLM.from_pretrained("ltg/norbert3-xs", 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)

# should output: '[CLS] Nå ønsker de seg en ny bolig.[SEP]'
print(tokenizer.decode(output_text[0].tolist()))

此模型目前需要来自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。

支持的类

目前实现了以下类：AutoModel、AutoModelMaskedLM、AutoModelForSequenceClassification、AutoModelForTokenClassification、AutoModelForQuestionAnswering和AutoModeltForMultipleChoice。

📚 引用信息

@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.",
}

📄 许可证

本项目采用apache-2.0许可证。