Size mismatch error

Hello everyone,
i'm trying to train neuralcoref for french language.
After training the model, i add it to the pipeline but when i execute this command:
```python
doc = nlp(u"je suis firas")
```
I get the following error

```python
---------------------------------------------------------------------------
ShapeMismatchError Traceback (most recent call last)
in
----> 1 doc = nlp(u"je suis firas")

~/.conda/envs/coref2/lib/python3.8/site-packages/spacy/language.py in __call__(self, text, disable, component_cfg)
437 if not hasattr(proc, "__call__"):
438 raise ValueError(Errors.E003.format(component=type(proc), name=name))
--> 439 doc = proc(doc, **component_cfg.get(name, {}))
440 if doc is None:
441 raise ValueError(Errors.E005.format(name=name))

neuralcoref.pyx in neuralcoref.neuralcoref.NeuralCoref.__call__()

neuralcoref.pyx in neuralcoref.neuralcoref.NeuralCoref.predict()

~/.conda/envs/coref2/lib/python3.8/site-packages/thinc/neural/_classes/model.py in __call__(self, x)
165 Must match expected shape
166 """
--> 167 return self.predict(x)
168
169 def pipe(self, stream, batch_size=128):

~/.conda/envs/coref2/lib/python3.8/site-packages/thinc/neural/_classes/feed_forward.py in predict(self, X)
38 def predict(self, X):
39 for layer in self._layers:
---> 40 X = layer(X)
41 return X
42

~/.conda/envs/coref2/lib/python3.8/site-packages/thinc/neural/_classes/model.py in __call__(self, x)
165 Must match expected shape
166 """
--> 167 return self.predict(x)
168
169 def pipe(self, stream, batch_size=128):

~/.conda/envs/coref2/lib/python3.8/site-packages/thinc/check.py in checked_function(wrapped, instance, args, kwargs)
153 if not isinstance(check, Callable):
154 raise ExpectedTypeError(check, ["Callable"])
--> 155 check(arg_id, fix_args, kwargs)
156 return wrapped(*args, **kwargs)
157

~/.conda/envs/coref2/lib/python3.8/site-packages/thinc/check.py in has_shape_inner(arg_id, args, kwargs)
72 # Allow underspecified dimensions
73 if dim is not None and arg.shape[i] != dim:
---> 74 raise ShapeMismatchError(arg.shape, shape_values, shape)
75
76 return has_shape_inner

ShapeMismatchError:

Shape mismatch: input (0, 668) not compatible with [None, 3924].

Traceback:
├─ __call__ in /home/equalios/.conda/envs/coref2/lib/python3.8/site-packages/spacy/language.py:439
├─── __call__ in neural/_classes/model.py:167
└───── predict in neural/_classes/feed_forward.py:40
>>> X = layer(X)
​```

I'am using an embedding vector of size 300
Can any one please help me