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I am encountering an error while loading the model.
model = Top2Vec(docs, embedding_model='universal-sentence-encoder-multilingual')
FileNotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for C:\Users\pkola\AppData\Local\Temp\tfhub_modules\26c892ffbc8d7b032f5a95f316e2841ed4f1608c\variables\variables You may be trying to load on a different device from the computational device. Consider setting the experimental_io_device option in tf.saved_model.LoadOptions to the io_device such as '/job:localhost'.
How can I fix it?
The text was updated successfully, but these errors were encountered:
I have an update here. It seems to be a problem with the embedding method. I swapped to universal-sentence-encoder-multilingual-large and it works fine. It was hard to detect because the error didn’t indicate that and no changes in Top2Vec documentary noticed.
I am encountering an error while loading the model.
model = Top2Vec(docs, embedding_model='universal-sentence-encoder-multilingual')
FileNotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for C:\Users\pkola\AppData\Local\Temp\tfhub_modules\26c892ffbc8d7b032f5a95f316e2841ed4f1608c\variables\variables You may be trying to load on a different device from the computational device. Consider setting the
experimental_io_device
option intf.saved_model.LoadOptions
to the io_device such as '/job:localhost'.How can I fix it?
The text was updated successfully, but these errors were encountered: