Replies: 3 comments
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Hi You need to download the pipeline with spacy_stanza.load.pipeline(). If I remember correctly you just name the languagemodel you wish to download (name = ""). I had some problems with downloading the libraries, restarting the kernel solved those at least for me! |
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Hi @Beawi, sorry - I am traveling and got confused on the course schedule. The correct answers for Part 1 are now on the github page. Let me know if you need more time with part 2 because of this! |
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Thanks! All good now! 😁 |
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Hello!
It says on the platform, that the correct answers for part 1 are available on 27.3. but I cannot find them. Where are they?
I was hoping to get help from them with the part two (I know the deadline already went, but I had problems with testing and therefore I had to submit it while it was incomplete). If I understood correctly, it is still possible to get 75 % if submitting late within a week.
My next question, in case I don't find the correct answers for part 1 on time, is my problem with part 2.
pipe_fi = stanza.Pipeline(lang='fi')
--> The variable "pipe_fi" does not contain a spaCy Language object! Did you load the model correctly?
How come it asks me to load a stazy language model but then cries that it is not a spacy language model?
Afterwards my example_doc is not iterable (as it is not a and I cannot do the rest of the tasks... I remember having a similar kind of issue with the part 1 but in there the issue was not as "expensive" as in part 2.
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