此代码中出现 HFValidationError 的原因是什么？如何解决此错误？

我在 Chaquopy android studio 项目中的 python 代码：

import torch as tc
from transformers import GPT2Tokenizer, GPT2Model



def generate_text(txt):
    """
    Generate chat
    https://huggingface.co/gpt2
    """

    #Load Model files
    tokenizer = GPT2Tokenizer.from_pretrained('assets/') #This line causing error
    model = GPT2Model.from_pretrained('assets/')
    #Move moel to GPU if avilable
    device = tc.device("cuda" if tc.cuda.is_available() else "cpu")
    model.to(device)

    encoded_input = tokenizer(txt, return_tensors='pt')
    output = model(**encoded_input)

    return str(output)

现在它显示以下错误：

E/AndroidRuntime: FATAL EXCEPTION: main
    Process: com.example.chaquopy_130application, PID: 4867
    com.chaquo.python.PyException: HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'assets/'.
        at <python>.huggingface_hub.utils._validators.validate_repo_id(_validators.py:164)
        at <python>.huggingface_hub.utils._validators._inner_fn(_validators.py:110)
        at <python>.huggingface_hub.utils._deprecation.inner_f(_deprecation.py:103)
        at <python>.transformers.file_utils.get_list_of_files(file_utils.py:2103)
        at <python>.transformers.tokenization_utils_base.get_fast_tokenizer_file(tokenization_utils_base.py:3486)
        at <python>.transformers.tokenization_utils_base.from_pretrained(tokenization_utils_base.py:1654)
        at <python>.pythonScript.generate_text(pythonScript.py:30)

我已经把124M GPT-2型号的所有文件都放了检查站, 编码器.json, hparams.json, model.ckpt.data-00000-of-00001, 模型.ckpt.索引, 模型.ckpt.元, 词汇表“assets”文件夹内的文件。

The from_pretrained https://huggingface.co/docs/transformers/v4.30.0/en/main_classes/model#transformers.PreTrainedModel.from_pretrained尽管所有本地路径示例都以斜杠结尾，但文档并不完全清楚如何区分 Huggingface 存储库名称和本地路径。

无论如何，当使用 Chaquopy 加载数据文件时，您必须始终使用绝对路径，如其中所述the FAQ https://chaquo.com/chaquopy/doc/current/android.html#android-data。因此，假设你的“assets”目录与Python代码处于同一级别，你可以这样做：

from os.path import dirname
tokenizer = GPT2Tokenizer.from_pretrained(f'{dirname(__file__)}/assets/')