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DETR: End-to-End Object Detection with Transformers
A new method that views object detection as a direct set prediction problem.
object-detection image-segmentation panoptic-segmentation transformers
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
Finetuning Transformers with JAX + Haiku
Walking through a port of the RoBERTa pre-trained model to JAX + Haiku, then fine-tuning the model to solve a downstream task.
jax haiku roberta transformers
Jukebox: A Generative Model for Music
We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles.
music-generation transformers convolutional-neural-networks jukebox
FastHugs: Sequence Classification with Transformers and Fastai
Fine-tune a text classification model with HuggingFace 🤗 transformers and fastai-v2.
transformers fastai huggingface sequence-classification
Illustrated: Self-Attention
Step-by-step guide to self-attention with illustrations and code.
self-attention attention pytorch transformers
Introduction to NLP using Fastai
Implementing and decoding the revolutionary ULMFiT approach to train a language model on any downstream NLP task.
natural-language-processing fastai ulmfit sentiment-analysis
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