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DeepMoji / app.py

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add emojis
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emoji code json id is string
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return label type
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label output
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uberdock model; live interface
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example reorder
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emoji count slider
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textScore
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tokenizer => vocabulary
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huggingface_hub to download model and vocab
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save_pretrained
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TorchMoji folder
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path to model change
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f to str
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fine, i'll set my own cache dir
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HF_HUB_CACHE environ
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default hub
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~/.cache
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load from pretrained cache
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torchmoji init model
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typo fix
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autotokenize
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back to model clone; uberduck's config is old
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load model with autoloader
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relative path to model?
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no bert; score text
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tokenized+output
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tokenized outputs
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output_text string
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output_text
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no verbose
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Update app.py
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examples; auto
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Update app.py
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Update app.py
1ef1fd0
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model name fix
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multi
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cloned model#2
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just multi model
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revert
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save_pretrained
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DistilBertForSequenceClassification
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from_pretrained
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text-classification
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hf-deepmoji model
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Upload app.py
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