I am currently trying to add a preloaded embedded from Glove from a model and can't seem to load the glove text file to parse it's data. I always get the file not found error.
My code is as follows:
outname = 'glove.6B.100d.txt'
outdir = './Downloads'
if not os.path.exists(outdir):
os.mkdir(outdir)
fullname = os.path.join(outdir, outname)
def getEmbeddedMatrix(num_words, embedding_size):
embeddings_index = {}
with open(fullname, "r") as file_directory:
for line in file_directory:
values = line.split()
word = values[0]
coefs = np.asarray(values[1:], dtype='float32')
embeddings_index[word] = coefs
embedding_matrix = np.zeros((num_words, embedded_size))
for word, index in imdb.get_word_index.items():
if index >= num_words:
continue
embedding_vector = embeddings_index.get(word)
if embedding_vector is not None:
embedding_matrix[i] = embedding_vector
return embedding_matrix
The error message I get is as follows:
[Errno 2] No such file or directory: './Downloads/glove.6B.100d.txt'
Any suggestions on what to do here? The.txt file is currently in my Downloads and I am using Google Colab
Edit:
I have also tried doing the following but it still throws up the same error
def getEmbeddedMatrix(num_words, embedding_size):
embeddings_index = {}
File_object = open(r"/Users/______/downloads/glove.6B.100d.txt","r")
with File_object as file_directory:
for line in file_directory:
values = line.split()
word = values[0]
coefs = np.asarray(values[1:], dtype='float32')
embeddings_index[word] = coefs
embedding_matrix = np.zeros((num_words, embedded_size))
for word, index in imdb.get_word_index.items():
if index >= num_words:
continue
embedding_vector = embeddings_index.get(word)
if embedding_vector is not None:
embedding_matrix[i] = embedding_vector
return embedding_matrix
You have to upload the text file at google-colab's working folder, instead of your Desktop's Downloads folder.
See this link.
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