Comments (1)
I tried the following
def convert_tf_checkpoint_to_pytorch(tf_checkpoint_path, bert_config_file, pytorch_dump_path):
# Initialise PyTorch model
config = RemBertConfig.from_json_file(bert_config_file)
print(f"Building PyTorch model from configuration: {config}")
model = RemBertModel(config)
# Load weights from tf checkpoint
load_tf_weights_in_rembert(model, config, tf_checkpoint_path)
# Save pytorch-model
print(f"Save PyTorch model to {pytorch_dump_path}")
#torch.save(model.state_dict(), pytorch_dump_path)
However its giving the error
File "/path/miniforge3/lib/python3.9/site-packages/transformers/models/rembert/modeling_rembert.py", line 139, in load_tf_weights_in_rembert
raise ValueError(f"Pointer shape {pointer.shape} and array shape {array.shape} mismatched")
ValueError: Pointer shape torch.Size([256]) and array shape (128,) mismatched
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