DeBERTa
gector
| DeBERTa | gector | |
|---|---|---|
| 4 | 2 | |
| 1,847 | 863 | |
| 1.0% | 0.7% | |
| 3.6 | 0.0 | |
| 7 months ago | 9 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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DeBERTa
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🚀 Microsoft AI Introduce DeBERTa-V3: A Novel Pre-Training Paradigm for Language Models Based on the Combination of DeBERTa and ELECTRA
Quick Read: https://www.marktechpost.com/2023/03/23/microsoft-ai-introduce-deberta-v3-a-novel-pre-training-paradigm-for-language-models-based-on-the-combination-of-deberta-and-electra/ Paper: https://arxiv.org/pdf/2111.09543.pdf Github: https://github.com/microsoft/DeBERTa
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How do I fine-tune zero shot models?
The obvious answer is to look at how the Deberta model was trained for MNLI and copy that: github
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[D] Paper Explained - DeBERTa: Decoding-enhanced BERT with Disentangled Attention (Full Video Analysis)
Code: https://github.com/microsoft/DeBERTa
- DeBERTa-0.9b/1.5b checkpoints released (SuperGLUE score: 89.9%)
gector
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ML application for grammar correction
If you capture it, you might as well correct it. Check out Gramformer or Grammarly's Gector. You can do scoring based on number of mistakes proposed by these models i.e. the fewer, the better.
- Is there any way to detect grammatical errors and classify text as being either grammatically correct/incorrect?
What are some alternatives?
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Gramformer - A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
BERTweet - BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
spark-nlp - State of the Art Natural Language Processing
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
sapbert - [NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.
adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
spokestack-python - Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.