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T5 fine-tuning
A colab notebook to showcase how to fine-tune T5 model on various NLP tasks (especially non text-2-text tasks with text-2-text approach)
natural-language-processing transformers text-2-text t5
Tips for Successfully Training Transformers on Small Datasets
It turns out that you can easily train transformers on small datasets when you use tricks (and have the patience to train a very long time).
transformers small-datasets training ptb
Simple Transformers: Transformers Made Easy
Simple Transformers removes complexity and lets you get down to what matters – model training and experimenting with the Transformer model architectures.
transformers huggingface simple-transformers text-classification
Transformers - Hugging Face
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
transformers huggingface attention bert
Topic Modeling with BERT
Leveraging 🤗 Transformers and a class-based TF-IDF to create dense clusters allowing for easily interpretable topics.
bert topic-modeling transformers code
Zero-Shot Learning for Text Classification
A visual summary of “Train Once, Test Anywhere” paper for zero-shot text classification
zero-shot-learning natural-language-processing tutorial article
TableQA
AI tool for querying natural language on tabular data like csvs and other dataframes.
sql tabular question-answering natural-language-processing
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