Question

我正在尝试运行page中的最后一个示例。我已将存储库克隆到目录C:/Users/nn/Desktop/BERT/transformers-master中。我在Windows计算机上并使用spyder IDE。为什么我确实出现错误，该如何解决？我该如何输入诗歌的开头部分？

import os

os.chdir('C:/Users/nn/Desktop/BERT/transformers-master/examples')
os.listdir()# It shows run_generation.py file

python run_generation.py \
    --model_type=gpt2 \
    --length=100 \
    --model_name_or_path=gpt2 \

python run_generation.py \
    --model_type=gpt2 \
    --length=100 \
    --model_name_or_path=gpt2 \
  File "<ipython-input-10-501d266b0e64>", line 1
    python run_generation.py \
                        ^
SyntaxError: invalid syntax

我去了命令提示符并在下面尝试了

cd C:/Users/nn/Desktop/BERT/transformers-master/examples
python3 run_generation.py \--model_type=gpt2 \--length=100 \--model_name_or_path=gpt2 \--promt="Hello world"

什么都没发生：（

当我使用python命令尝试相同操作时，出现如下错误：（

python run_generation.py \--model_type=gpt2 \--length=100 \--model_name_or_path=gpt2 \--promt="Hello world"
2019-12-04 11:23:36.345648: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_100.dll'; dlerror: cudart64_100.dll not found
2019-12-04 11:23:36.352875: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
usage: run_generation.py [-h] --model_type MODEL_TYPE --model_name_or_path
                         MODEL_NAME_OR_PATH [--prompt PROMPT]
                         [--padding_text PADDING_TEXT] [--xlm_lang XLM_LANG]
                         [--length LENGTH] [--num_samples NUM_SAMPLES]
                         [--temperature TEMPERATURE]
                         [--repetition_penalty REPETITION_PENALTY]
                         [--top_k TOP_K] [--top_p TOP_P] [--no_cuda]
                         [--seed SEED] [--stop_token STOP_TOKEN]
run_generation.py: error: the following arguments are required: --model_type, --model_name_or_path

#### update 2 ------------------

我按照评论中的建议进行了工作。该代码似乎下载了3个文件。

我可以手动复制那些文件，这样我就不必每次都依赖它们下载到临时文件夹中了吗？
我应将这些文件存储在哪里？哪个文件夹位置？是C:\Users\nnn\Desktop\BERT\transformers-master\examples-与run_generation.py文件相同吗？

abc

C:\Users\nnn\Desktop\BERT\transformers-master\examples>python run_generation.py --model_type=gpt2 --length=100 --model_name_or_path=gpt2 --prompt="My job is"

2019-12-12 11:11:57.740810: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_100.dll'; dlerror: cudart64_100.dll not found
2019-12-12 11:11:57.748330: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
12/12/2019 11:12:01 - INFO - transformers.file_utils -   https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-vocab.json not found in cache or force_download set to True, downloading to C:\Users\nnn\AppData\Local\Temp\tmpt_29gyqi
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1042301/1042301 [00:00<00:00, 2275416.04B/s]
12/12/2019 11:12:02 - INFO - transformers.file_utils -   copying C:\Users\nnn\AppData\Local\Temp\tmpt_29gyqi to cache at C:\Users\nnn\.cache\torch\transformers\f2808208f9bec2320371a9f5f891c184ae0b674ef866b79c58177067d15732dd.1512018be4ba4e8726e41b9145129dc30651ea4fec86aa61f4b9f40bf94eac71
12/12/2019 11:12:02 - INFO - transformers.file_utils -   creating metadata file for C:\Users\nnn\.cache\torch\transformers\f2808208f9bec2320371a9f5f891c184ae0b674ef866b79c58177067d15732dd.1512018be4ba4e8726e41b9145129dc30651ea4fec86aa61f4b9f40bf94eac71
12/12/2019 11:12:02 - INFO - transformers.file_utils -   removing temp file C:\Users\nnn\AppData\Local\Temp\tmpt_29gyqi
12/12/2019 11:12:03 - INFO - transformers.file_utils -   https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-merges.txt not found in cache or force_download set to True, downloading to C:\Users\nnn\AppData\Local\Temp\tmpj1_y4sn8
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 456318/456318 [00:00<00:00, 1456594.78B/s]
12/12/2019 11:12:03 - INFO - transformers.file_utils -   copying C:\Users\nnn\AppData\Local\Temp\tmpj1_y4sn8 to cache at C:\Users\nnn\.cache\torch\transformers\d629f792e430b3c76a1291bb2766b0a047e36fae0588f9dbc1ae51decdff691b.70bec105b4158ed9a1747fea67a43f5dee97855c64d62b6ec3742f4cfdb5feda
12/12/2019 11:12:03 - INFO - transformers.file_utils -   creating metadata file for C:\Users\nnn\.cache\torch\transformers\d629f792e430b3c76a1291bb2766b0a047e36fae0588f9dbc1ae51decdff691b.70bec105b4158ed9a1747fea67a43f5dee97855c64d62b6ec3742f4cfdb5feda
12/12/2019 11:12:03 - INFO - transformers.file_utils -   removing temp file C:\Users\nnn\AppData\Local\Temp\tmpj1_y4sn8
12/12/2019 11:12:03 - INFO - transformers.tokenization_utils -   loading file https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-vocab.json from cache at C:\Users\nnn\.cache\torch\transformers\f2808208f9bec2320371a9f5f891c184ae0b674ef866b79c58177067d15732dd.1512018be4ba4e8726e41b9145129dc30651ea4fec86aa61f4b9f40bf94eac71
12/12/2019 11:12:03 - INFO - transformers.tokenization_utils -   loading file https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-merges.txt from cache at C:\Users\nnn\.cache\torch\transformers\d629f792e430b3c76a1291bb2766b0a047e36fae0588f9dbc1ae51decdff691b.70bec105b4158ed9a1747fea67a43f5dee97855c64d62b6ec3742f4cfdb5feda
12/12/2019 11:12:04 - INFO - transformers.file_utils -   https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-config.json not found in cache or force_download set to True, downloading to C:\Users\nnn\AppData\Local\Temp\tmpyxywrts1
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 176/176 [00:00<00:00, 17738.31B/s]
12/12/2019 11:12:04 - INFO - transformers.file_utils -   copying C:\Users\nnn\AppData\Local\Temp\tmpyxywrts1 to cache at C:\Users\nnn\.cache\torch\transformers\4be02c5697d91738003fb1685c9872f284166aa32e061576bbe6aaeb95649fcf.085d5f6a8e7812ea05ff0e6ed0645ab2e75d80387ad55c1ad9806ee70d272f80
12/12/2019 11:12:04 - INFO - transformers.file_utils -   creating metadata file for C:\Users\nnn\.cache\torch\transformers\4be02c5697d91738003fb1685c9872f284166aa32e061576bbe6aaeb95649fcf.085d5f6a8e7812ea05ff0e6ed0645ab2e75d80387ad55c1ad9806ee70d272f80
12/12/2019 11:12:04 - INFO - transformers.file_utils -   removing temp file C:\Users\nnn\AppData\Local\Temp\tmpyxywrts1
12/12/2019 11:12:04 - INFO - transformers.configuration_utils -   loading configuration file https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-config.json from cache at C:\Users\nnn\.cache\torch\transformers\4be02c5697d91738003fb1685c9872f284166aa32e061576bbe6aaeb95649fcf.085d5f6a8e7812ea05ff0e6ed0645ab2e75d80387ad55c1ad9806ee70d272f80
12/12/2019 11:12:04 - INFO - transformers.configuration_utils -   Model config {
  "attn_pdrop": 0.1,
  "embd_pdrop": 0.1,
  "finetuning_task": null,
  "initializer_range": 0.02,
  "layer_norm_epsilon": 1e-05,
  "n_ctx": 1024,
  "n_embd": 768,
  "n_head": 12,
  "n_layer": 12,
  "n_positions": 1024,
  "num_labels": 1,
  "output_attentions": false,
  "output_hidden_states": false,
  "output_past": true,
  "pruned_heads": {},
  "resid_pdrop": 0.1,
  "summary_activation": null,
  "summary_first_dropout": 0.1,
  "summary_proj_to_labels": true,
  "summary_type": "cls_index",
  "summary_use_proj": true,
  "torchscript": false,
  "use_bfloat16": false,
  "vocab_size": 50257
}

12/12/2019 11:12:04 - INFO - transformers.file_utils -   https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-pytorch_model.bin not found in cache or force_download set to True, downloading to C:\Users\nnn\AppData\Local\Temp\tmpn8i9o_tm
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 548118077/548118077 [01:12<00:00, 7544610.26B/s]
12/12/2019 11:13:18 - INFO - transformers.file_utils -   copying C:\Users\nnn\AppData\Local\Temp\tmpn8i9o_tm to cache at C:\Users\nnn\.cache\torch\transformers\4295d67f022061768f4adc386234dbdb781c814c39662dd1662221c309962c55.778cf36f5c4e5d94c8cd9cefcf2a580c8643570eb327f0d4a1f007fab2acbdf1
12/12/2019 11:13:24 - INFO - transformers.file_utils -   creating metadata file for C:\Users\nnn\.cache\torch\transformers\4295d67f022061768f4adc386234dbdb781c814c39662dd1662221c309962c55.778cf36f5c4e5d94c8cd9cefcf2a580c8643570eb327f0d4a1f007fab2acbdf1
12/12/2019 11:13:24 - INFO - transformers.file_utils -   removing temp file C:\Users\nnn\AppData\Local\Temp\tmpn8i9o_tm
12/12/2019 11:13:24 - INFO - transformers.modeling_utils -   loading weights file https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-pytorch_model.bin from cache at C:\Users\nnn\.cache\torch\transformers\4295d67f022061768f4adc386234dbdb781c814c39662dd1662221c309962c55.778cf36f5c4e5d94c8cd9cefcf2a580c8643570eb327f0d4a1f007fab2acbdf1
12/12/2019 11:13:32 - INFO - __main__ -   Namespace(device=device(type='cpu'), length=100, model_name_or_path='gpt2', model_type='gpt2', n_gpu=0, no_cuda=False, num_samples=1, padding_text='', prompt='My job is', repetition_penalty=1.0, seed=42, stop_token=None, temperature=1.0, top_k=0, top_p=0.9, xlm_lang='')
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [00:23<00:00,  2.49it/s]
 to know when it will change, it's up to you."

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Answer 1

您已阅读任务的先决条件：

在计算机上安装PyTorch-Transformers 在Python中安装Pytorch-Transformers非常简单。您可以简单地使用pip install：

     pip install pytorch-transformers

或者如果您正在使用Colab：

     !pip install pytorch-transformers

由于这些模型大多数都是GPU密集型的，因此我建议在本文的这一部分中使用Google Colab。

链接到Colab：https://colab.research.google.com/notebooks/welcome.ipynb#recent=true

从上面的pip命令可以看到，colab中使用的命令语法稍有不同。

示例命令最有可能在删除\字符（在cmd上）时更好地运行，并且将同一行上的所有命令参数仅用空格字符分隔。

命令可能需要大量计算，因此与示例语法协同工作可直接在其中进行。

修改：

现在，回顾您的代码，有一个重要的错字：

与另一个p一起使用提示，而不是promt。然后，您很可能能够输入算法的种子。我正在自己的计算机上对此进行测试，如果发现其他问题，很快就会发表评论。

编辑2：

我的考试花了一些时间，现在我准备好了。我必须遵循3个Readme.md文件才能使本教程正常工作：一个来自根文件夹，一个位于变形金刚下方，最后一个来自示例。然后运行此命令，我得到了第一个结果：

  python pytorch-transformers/examples/run_generation.py --model_type=gpt2 --length=2 --model_name_or_path=gpt2 --prompt="My job is"

..计算机思考了一下，说得很好：“要知道”。

运行py文件时，Windows spyder无效语法错误

1 个答案: