search

huggingface / transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
https://huggingface.co/transformers
Apache License 2.0
134.92k stars 26.99k forks source link

Deutsch to English Translation Model by Google doesn't work anymore... #7761

Closed avacaondata closed 4 years ago

avacaondata commented 4 years ago

Hi, the model in: https://huggingface.co/google/bert2bert_L-24_wmt_de_en doesn't work anymore. It seems that the library has changed a lot since the model was added, therefore the classes themselves seem to have changed in names etc. Can anyone tell me how could I apply with the current library functionality? Thanks in advance! :)

thomwolf commented 4 years ago

Do you want to post the full error message? (and the information asked in the issue template)

LysandreJik commented 4 years ago

These models have been added last months, so they shouldn't have changed much. The full issue template filled would be very helpful here!

avacaondata commented 4 years ago

This is the error: ValueError: Unrecognized model identifier: bert-generation. Should contain one of retribert, t5, mobilebert, distilbert, albert, camembert, xlm-roberta, pegasus, marian, mbart, bart, reformer, longformer, roberta, flaubert, bert, openai-gpt, gpt2, transfo-xl, xlnet, xlm, ctrl, electra, encoder-decoder

Using exactly the code appearing in the link I passed:

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("google/bert2bert_L-24_wmt_de_en", pad_token="<pad>", eos_token="</s>", bos_token="<s>")
model = AutoModelForSeq2SeqLM.from_pretrained("google/bert2bert_L-24_wmt_de_en")

sentence = "Willst du einen Kaffee trinken gehen mit mir?"

input_ids = tokenizer(sentence, return_tensors="pt", add_special_tokens=False).input_ids
output_ids = model.generate(input_ids)[0]
print(tokenizer.decode(output_ids, skip_special_tokens=True))

Transformers version: 3.1.0

LysandreJik commented 4 years ago

@patrickvonplaten what should be done here? The BertGeneration model cannot be loaded directly through the AutoModelForSeq2SeqLM auto-model, can it?

avacaondata commented 4 years ago

Then how could I load it?

patrickvonplaten commented 4 years ago

Hey @alexvaca0 - the google/encoder-decoder models were released in transformers 3.2.0 => so you will have to update your transformers version for it :-) It should then work as expected.

avacaondata commented 4 years ago

Ohhh so sorry, my bad :( Thanks a lot for the quick response! :)

ezekielbarnett commented 3 years ago

I think this may not have been fully resolved? I'm getting a simmilar error:

Traceback (most recent call last):
  File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/transformers/modeling_utils.py", line 926, in from_pretrained
    state_dict = torch.load(resolved_archive_file, map_location="cpu")
  File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/torch/serialization.py", line 527, in load
    with _open_zipfile_reader(f) as opened_zipfile:
  File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/torch/serialization.py", line 224, in __init__
    super(_open_zipfile_reader, self).__init__(torch._C.PyTorchFileReader(name_or_buffer))
RuntimeError: version_ <= kMaxSupportedFileFormatVersion INTERNAL ASSERT FAILED at /opt/conda/conda-bld/pytorch_1579022060824/work/caffe2/serialize/inline_container.cc:132, please report a bug to PyTorch. Attempted to read a PyTorch file with version 3, but the maximum supported version for reading is 2. Your PyTorch installation may be too old. (init at /opt/conda/conda-bld/pytorch_1579022060824/work/caffe2/serialize/inline_container.cc:132)
frame #0: c10::Error::Error(c10::SourceLocation, std::string const&) + 0x47 (0x7fd86f9d2627 in /home/ubuntu/anaconda3/lib/python3.7/site-packages/torch/lib/libc10.so)
frame #1: caffe2::serialize::PyTorchStreamReader::init() + 0x1f5b (0x7fd82fbbb9ab in /home/ubuntu/anaconda3/lib/python3.7/site-packages/torch/lib/libtorch.so)
frame #2: caffe2::serialize::PyTorchStreamReader::PyTorchStreamReader(std::string const&) + 0x64 (0x7fd82fbbcbc4 in /home/ubuntu/anaconda3/lib/python3.7/site-packages/torch/lib/libtorch.so)
frame #3: <unknown function> + 0x6d2146 (0x7fd87067e146 in /home/ubuntu/anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_python.so)
frame #4: <unknown function> + 0x28ba06 (0x7fd870237a06 in /home/ubuntu/anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_python.so)
<omitting python frames>
frame #37: __libc_start_main + 0xe7 (0x7fd87474cb97 in /lib/x86_64-linux-gnu/libc.so.6)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "wmt_test.py", line 26, in <module>
    model = AutoModelForSeq2SeqLM.from_pretrained("google/bert2bert_L-24_wmt_de_en").to(device)
  File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/transformers/modeling_auto.py", line 1073, in from_pretrained
    return model_class.from_pretrained(pretrained_model_name_or_path, *model_args, config=config, **kwargs)
  File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/transformers/modeling_utils.py", line 929, in from_pretrained
    "Unable to load weights from pytorch checkpoint file. "
OSError: Unable to load weights from pytorch checkpoint file. If you tried to load a PyTorch model from a TF 2.0 checkpoint, please set from_tf=True.

python = 3.76, torch==1.4.0, transformers==3.2.0

LysandreJik commented 3 years ago

Hi @ezekielbarnett could you open a new issue and fill the issue template? A reproducible code example would be particularly helpful here.