I'm trying to run language model finetuning script (run_language_modeling.py) from huggingface examples with my own tokenizer(just added in several tokens, see the comments). I have problem loading the tokenizer. I think the problem is with AutoTokenizer.from_pretrained('local/path/to/director...
from datasets import load_dataset # load all the splits dataset = load_dataset('glue', 'mrpc') encoded_dataset = dataset.map(lambda examples: tokenizer(examples["sentence1"]), batched=True) encoded_dataset["train"][0] {'sentence1': 'Amrozi accused his brother , whom he called " the...
To work with the AutoTokenizer you also need to save the config to load it offline: from transformers import AutoTokenizer, AutoConfig tokenizer = AutoTokenizer.from_pretrained('xlm-roberta-base') config = AutoConfig.from_pretrained('xlm-roberta-base') tokenizer.save_pretrained('YOURPATH') confi...
from datasets import load_dataset dataset = load_dataset('json', data_files='my_file.json') JSON 文件可以有多种格式,但我们认为最有效的格式是拥有多个 JSON 对象;每行代表一个单独的数据行。例如: {"a": 1, "b": 2.0, "c": "foo", "d": false} {"a": 4, "b": -5.5, "c": nul...
只有configuration,models和tokenizer三个主要类。 所有的模型都可以通过统一的from_pretrained()函数来实现加载,transformers会处理下载、缓存和其它所有加载模型相关的细节。而所有这些模型都统一在Hugging Face Models管理。 基于上面的三个类,提供更上层的pipeline和Trainer/TFTrainer,从而用更少的代码实现模型的预测和微调...
tokenizer = AutoTokenizer.from_pretrained('./local_model_directory/') model = AutoModelForTokenClassification.from_pretrained('./local_model_directory/') 对于只有pickle文件的模型,我们可以通过名为classifier的数据集轻松读取该文件: @transform(
下载模型 https://huggingface.co/docs/transformers/main/installation#fetch-models-and-tokenizers-to-...
请注意,默认情况下,load_dotenv 会在当前工作目录中寻找 .env 文件,但是您也可以指定包含您的Secrets...
Can't load tokenizer for 'distilroberta-base'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'distilroberta-base' is the correct path to a directory containing all relevant files ...
OSError: Can't load tokenizer for'bert-base-chinese'. If you were trying to load it from'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'bert-base-chinese' is the correct path to a directory containing all relevant...