Error while import MonoT5 from Pygaggle #2
Comments
|
While installing pygaggle and related dependencies. I received following error. ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. Here is pip freeze: |
I am running CrisisFACT.ipynb notebook on Colab on Python v3.9.16
Used colab's fallback runtime version.
I am getting error while importing monoT5 from pygaggle. Kindly help me resolve the issue @rodrigonogueira4, @jayralencar
1 from pygaggle.rerank.base import Query, Text
----> 2 from pygaggle.rerank.transformer import MonoT5
3
4 reranker = MonoT5(model=model)
7 frames
/usr/local/lib/python3.9/dist-packages/pygaggle/rerank/transformer.py in
11 import torch
12 from .base import Reranker, Query, Text
---> 13 from .similarity import SimilarityMatrixProvider
14 from pygaggle.model import (BatchTokenizer,
15 LongBatchEncoder,
/usr/local/lib/python3.9/dist-packages/pygaggle/rerank/similarity.py in
3 import torch
4
----> 5 from pygaggle.model.encode import SingleEncoderOutput
6
7
/usr/local/lib/python3.9/dist-packages/pygaggle/model/init.py in
4
5 from .decode import *
----> 6 from .encode import *
7 from .evaluate import *
8 from .serialize import *
/usr/local/lib/python3.9/dist-packages/pygaggle/model/encode.py in
6 import torch.nn as nn
7
----> 8 from .tokenize import BatchTokenizer
9 from pygaggle.rerank.base import TextType
10
/usr/local/lib/python3.9/dist-packages/pygaggle/model/tokenize.py in
170
171
--> 172 class SpacySenticizer:
173 nlp = English()
174 nlp.add_pipe(nlp.create_pipe('sentencizer'))
/usr/local/lib/python3.9/dist-packages/pygaggle/model/tokenize.py in SpacySenticizer()
172 class SpacySenticizer:
173 nlp = English()
--> 174 nlp.add_pipe(nlp.create_pipe('sentencizer'))
175
176 def init(self, max_paragraph_length: int = None):
/usr/local/lib/python3.9/dist-packages/spacy/language.py in create_pipe(self, name, config)
300 raise KeyError(Errors.E002.format(name=name))
301 factory = self.factories[name]
--> 302 return factory(self, **config)
303
304 def add_pipe(
/usr/local/lib/python3.9/dist-packages/spacy/language.py in factory(nlp, **cfg)
1043 def factory(nlp, **cfg):
1044 if hasattr(obj, "from_nlp"):
-> 1045 return obj.from_nlp(nlp, **cfg)
1046 elif isinstance(obj, class_types):
1047 return obj()
pipes.pyx in spacy.pipeline.pipes.Sentencizer.from_nlp()
TypeError: type() takes 1 or 3 arguments
The text was updated successfully, but these errors were encountered: