关于“gpt2-Chinese的train.py报错:AttributeError: module transformers has no attribute modeling_gpt2” 的推荐: scrapy shell 报错 'NoneType' object has no attribute 'xpath' response是空 python中使用pyqt5出现 No module named 'QtWidgets'报错应该如何解决?
四、参数设置 train_data_file=path/gpt2/data/wikitext-2-raw/wiki.train.txt #上述路径下载的wikitext-2-raw文件,并更换后缀名为txt eval_data_file=path/gpt2/data/wikitext-2-raw/wiki.valid.txt model_type=gpt2 block_size=128 #不设置,则tokenized_datasets.map可能失败,得到的训练集是0 tokenizer_...
--per_device_train_batch_size=2 \ --per_device_eval_batch_size=2 \ --num_train_epochs=10 \ --save_steps=5000 \ --save_total_limit=3 AttributeError: 'Trainer' object has no attribute 'is_world_master' 解決方法 こちらの記事によると、transformersのバージョンが古いとのこと。どうし...
lm_gpt2(input_ids=x)实际上执行的是lm_gpt2的forward方法,这里主要介绍该方法。 past_key_values 将x输入gpt2中,势必会经过Block中的多头注意力模块,谈及注意力,会涉及query,key,value。当use_cache=True,会缓存所有Block中所有Attention模块用到的key,value 1.2 源码(缩减) class GPT2LMHeadModel(GPT2PreTra...
Hi, i am using the GPT-2 Test at this path: /TurboTranbsformer/example/python/gpt2_example.py. The image i am using is thufeifeibear/turbo_transformers:0.2.0-cuda10.0-cudnn7-devel-ubuntu18.04-gpu-release. Could you please help me, thanks.
Transformer库GPT2源码 transformers/src/transformers/models/gpt2 at main · huggingface/transformers (github.com) 一、wikitext-2数据集训练GPT2 1.1 安装依赖 !pipinstall-Udatasets!pipinstallaccelerate-U 注意:在Colab上训练时,最好将datasets更新到最新版(再重启kernel),避免版本低报错 ...
ModuleAttributeError: 'GPT2LMHeadModel' object has no attribute 'backward' #9693 Closed Author Octopirate1 commented Jan 20, 2021 It would appear that line 1286 in trainer.py actually calls the backward method on the model, not the loss object. I will try rebuilding after fixing that ...
--->6model = AutoModelForCausalLM.from_pretrained("gpt-neo-125M",from_tf=True)783frames /usr/local/lib/python3.7/dist-packages/transformers/file_utils.pyin__getattr__(self, name) AttributeError: module transformers has no attribute TFGPTNeoForCausalLM Full...
If you see the AttributeError, AttributeError: 'GPT2LMHeadModel' object has no attribute 'compute_transition_scores' most probably your current Python kernel (maybe inside Jupyter) isn't the right one that you have with your pip. If so, check your executable: import sys sys.executable ...
model_checkpoint = "gpt2" tokenizer_checkpoint = "sgugger/gpt2-like-tokenizer" 当然,你也可以选择这里列出的任何一个https://huggingface.co/models?filter=causal-lm 因果语言模型的checkpoint。 为了用训练模型时使用的词汇对所有文本进行分词,先下载一个预训练过的分词器(Tokenizer)。 直接使用AutoTokenizer类...