Textwiser

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minor:
- Updated dependency requirements to reflect updates to Flair library

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major:
- Added T5, XLM-RoBERTa, BART, ECELTRA, DialoGPT, Longformer embeddings
- Added inline pooling for Word embeddings to make some pooling scenarios faster

minor:
- Updated basic usage notebook
- Updated preferred method of persistence & examples
- SVD now properly appears in model parameters and can be fine-tuned

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minor:
- Fix transformers model initialization for newer versions of transformers

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major:
- Update Universal Sentence Encoder
- Now works with newer versions
- Default version is now v5
- Add bytepair embeddings
- Add ALBERT embeddings

minor:
- Add explicit fit_transform method to Compound embeddings to make them faster

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minor:
- Fix running transformers models on a GPU
- Fix modification of input schema object for Compound embeddings

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major:
- All transformer-based models are powered by the transformers library
- This enables fine-tuning for transformer models!
- There isn't a subword to word level aggregation, everything is aggregated at doc level
- The models output the last layer by default
- The scalar mix parameter is discontinued
- Add DistilBERT and CTRL models
- Add Sphinx documentation
- Add LICENSE

minor:
- More modular word embedding testing

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