Some model can't be download automatically

Describe the bug I’m using the minimal example from readme, and change it to parse chinese:

But upon running, it errors:

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.

While bert-base-cased can run without any error.

To Reproduce Steps to reproduce the behavior:

from simpletransformers.classification import ClassificationModel
import pandas as pd


# Train and Evaluation data needs to be in a Pandas Dataframe of two columns. The first column is the text with type str, and the second column is the label with type int.
train_data = [['属于类一的例句', 1], ['属于类二的例句', 0]]
train_df = pd.DataFrame(train_data)

eval_data = [['属于类一的例句2', 1], ['属于类二的例句1', 0]]
eval_df = pd.DataFrame(eval_data)

# Create a ClassificationModel
model = ClassificationModel('bert', 'bert-base-chinese', use_cuda=False, args={'overwrite_output_dir': True}) # You can set class weights by using the optional weight argument

# Train the model
model.train_model(train_df)

# Evaluate the model
result, model_outputs, wrong_predictions = model.eval_model(eval_df)

Expected behavior Run as example in readme.

Screenshots

Desktop (please complete the following information):

• MacOS 10.15.2

[linonetwo]

Thank you, I can confirm it works!

[ThilinaRajapakse]

It’s working for me. It’s possible that there is a corrupted model saved on your system. Try this:

# Create a ClassificationModel
model = ClassificationModel(
    "bert", "bert-base-chinese", use_cuda=False, args={"overwrite_output_dir": True}, force_download=True
)  # You can set class weights by using the optional weight argument