Comments (2)
liuzzi
commented on May 28, 2024
i have also noticed this.
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PrithivirajDamodaran
commented on May 28, 2024
There is no universal model similarly there is no universal paraphraser which will work across all text nuances from across domains. Performance and variety is a function of the data it has seen.
For your needs and domain text feel free to fine tune your own paraphraser.
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Related Issues (20)
- Unable to use the model due to Huggingface updated API HOT 1
- Unable to use the model
- ValueError: Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet connection is on. HOT 1
- Failed to build tokenizers ERROR: Could not build wheels for tokenizers, which is required to install pyproject.toml-based projects HOT 1
- How to install this library with poetry? HOT 1
- ImportError: cannot import name 'Parrot' from partially initialized module 'parrot' (most likely due to a circular import) (D:\python\paraphrase\parrot.py) HOT 12
- TypeError: Descriptors cannot not be created directly. HOT 2
- Publish to PyPI HOT 1
- Is there any paper published? HOT 1
- how to compute adequacy score? HOT 2
- About this model paper HOT 4
- Issue in model output. Model's output changed to NoneType HOT 1
- Poor quality for German input HOT 1
- Is there any way to fine tune this model?
- Any chance it could work on paraphrasing profane words ?
- How to create embeddings vector from input sentence?
- Parrot Library Package missing
- How to set other language exept english
- Deprecated .egg files when running the install command HOT 1
- How to generate in batches? HOT 1
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