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I am trying to explain a customly trained USE model from the TFHub.
The model takes string as inputs.
I get this while trying to call the explainer function:
```
root@d0c5d073d95f:/workspace# pyth…
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I'm wondering, is this possibly a mistake in the [documentation](https://www.sbert.net/docs/pretrained_models.html#multi-lingual-models)?
> distiluse-base-multilingual-cased-v1: Multilingual knowle…
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When I try to change the word embeddings nothing happens
`
import spacy_universal_sentence_encoder
nlp_use = spacy_universal_sentence_encoder.load_model('en_use_lg')
vector = nlp_use('her').ve…
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Imagine there will be a terminal command that is named `$`, `$tep`, `step` or just `s`.
You write a command in terminal, for example `pip install universal_sentence_encoder`, but instead using `$`…
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Explore this area that reads PDF, reads he content, understand the context, helps with Question answering.
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index.html
```
import * as use from '@tensorflow-models/universal-sentence-encoder';
```
index.js
```
function tokenizePad(text){
text = use.loadTokenizer().then…
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Currently we are using the pre-trained [Universal Sentence Encoder (large)](https://tfhub.dev/google/universal-sentence-encoder-large/5) from TensorFlow hub.
**Open area for investigation:**
The …
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I'm getting below error while converting multilingual universal sentence encoder(https://tfhub.dev/google/universal-sentence-encoder-multilingual/3) to TensorRT using `TrtGraphConverterV2`
`Invalid…
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will this finetuning method also work for transformer based encoder available at : https://tfhub.dev/google/universal-sentence-encoder/2 ?