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Questions - embedding

Gensim: error loading pretrained vectors No such file or directory: 'word2vec.kv.vectors.npy'

I am trying to load a Pretrained word2vec embeddings that is in gensim keyedvector 'word2vec.kv' pretrained = KeyedVectors.load(args.pretrained mmap = 'r') where arg.pretrained is "/ptembs/word2...
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subham Kumar

machine-learning

nlp

pytorch

gensim

embedding

Votes: 0

Answers: 1

Latest Answer

Where did you get the file 'word2vec.kv'? If loading that file triggers an error mentioning a 2nd file by name, then that 2nd file should've been created alongside 'word2vec.kv' when it was 1st saved ...
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gojomo

How can you Embed YouTube Video using JOGL

I am working on adding cutscenes to a game mod I am writing. The game renders GUI elements using JOGL, so I have created a render event for the Player's Heads Up Display (HUD) and I want to render an ...
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Thornack

java

opengl

video

embedding

Votes: 0

Answers: 0

Perform clustering on high dimensional data

Recently I trained a BYOL model on a set of images to learn an embedding space where similar vectors are close by. The performance was fantastic when I performed approximate K-nearest neighbours searc...
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VEDANT JOSHI

search

deep-learning

cluster-analysis

embedding

hierarchical-clustering

Votes: 0

Answers: 0

ValueError: The last dimension of the inputs to a Dense layer should be defined. Found None

I'm playing around a bit with Tensorflow 2.7.0 and its new TextVectorization layer. However, something does not work quite right in this simple example: import tensorflow as tf import numpy as np X =...
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Garve

python

tensorflow

keras

nlp

embedding

Votes: 0

Answers: 1

Latest Answer

You need to define a max length for the sequences. vectorize_layer = tf.keras.layers.TextVectorization(output_mode = 'int', output_sequence_length=1...
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Frightera

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