Comments (4)
Hello!
Where are you running this? On colab?
If you are on colab, did you restart the notebook after "pip install"?
from contextualized-topic-models.
Hello, I'm trying to use:
- Combined TM on Wikipedia Data (Preproc+Saving+Viz) (stable v2.3.0)
- Zero-Shot Cross-lingual Topic Modeling (Preproc+Viz) (stable v2.3.0)
but always get one or another error because incompatibilities, could you specify in detail wich versions and dependencies work for them? (python version, torch version, scikit-learn, scipy, numpy, pandas etc. etc. etc.? requirements.txt doesn't specify scikit-learn version for example, versions after 1.0 cause errors :(
I think you got 'numpy.core.multiarray failed to import' as me in colab?
from contextualized-topic-models.
Should be same to the issue described here: #126 (comment)
Restarting the colab after instal should fix the imports
from contextualized-topic-models.
(I was doing it on local machine)
My problem was related on some point to that, but later (or before can't remember) the problem(s) was about compatibilities of dependencies that pip was messing up, at some point my ipykernel died but now everything is ok, I managed to get it working :)
I'll try to comment the versions that I'm using of ... everything? I guess (or at least the more important libraries, python, cuda and cuDNN versions, etc etc.) (I'm a litle busy so I'll do it later :P)
Thank you for your fast answer and sorry for the delay on mine.
from contextualized-topic-models.
Related Issues (20)
- Numpy error evalation scores HOT 17
- OSError: [Errno 22] Invalid argument HOT 5
- representation embedding HOT 18
- How to work with Large dataset? HOT 14
- Large Dataset HOT 4
- How to Find coherence of this Topic and Model? HOT 1
- GPU and CPU usage HOT 2
- Custom Embedding vs Vocabulary HOT 10
- Perplexity HOT 3
- AttributeError: 'CountVectorizer' object has no attribute 'get_feature_names' HOT 2
- Loading own embedding & division by zero error HOT 7
- Testing with custom embedding HOT 7
- More time spent for finding smaller number of topics HOT 5
- Add patience to reduce LR as CTM argument HOT 1
- Bug: Minor bug when constructing the model directory path
- Running cythonize failed! HOT 2
- Variable naming issues HOT 3
- ImportError: cannot import name 'CombinedTM' HOT 2
- pip install HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from contextualized-topic-models.