I’m trying to use a pre-trained model
Using word2vec I have converted the data to ZIP format
But using the latest Spacy 3.0 version I am not able to convert it into Spacy usable format
python -m spacy init-model en ./spacy.word2vec.model --vectors-loc word2vec_shopping.txt.gz
word2vec_shopping.txt.gz is the file name
This is the error I’m getting
Error: No such command ‘init-model’.
I tried doing it with older versions it worked fine but in that case, I am not able to add it to RASA
Can someone help us with this
HOW DO I SOLVE THE FIRST ISSUE AND THE SECOND ONE
I AM TRYING TO USE A PRE TRAINED MODEL
PLEASE HELP ME WITH THIS
OR IF POSSIBLE PLEASE SUGGEST AN ALTERNATIVE WAY ACHIEVE IT
when you say a pre-trained model do you mean a custom one trained by you in spacy’s format?
I am speaking of spaCy 2.x
if you have a custom spacy model trained into a folder
then in the config.yml language you need to provide the path to that spacy model instead of en_core_web_md , you don’t need to link that model in particular. providing the path to the model also works fine
Thank you For your Response
Yes, custom one trained in spacy’s format
Let me try doing this way Ill update you if it works
Thank you @souvikg10
t worked for me
probably the mistake I did was
Also, I had a Doubt which is if I want to add two or more such models
how do I do it?
In the current approach its not possible
Eg: If I have 3 intent in my NLU file I want to train models for all three (is it possible ?)
if not possible can you give me some tips, how I can make my chatbot more efficient in understanding user inputs?