List: transformers | Curated by Eduardo Muñoz

Jan 4, 2024
24 stories
transformers
Adithya S K
Run any Huggingface model locallyA guide/colab notebook to quantize LLMs in GGUF formate to run them locally
Jan 1, 2024
Jan 1, 2024
Rayyan Shaikh
Mastering BERT: A Comprehensive Guide from Beginner to Advanced in Natural Language Processing…Introduction: A Guide to Unlocking BERT: From Beginner to Expert
Aug 26, 2023
20
Aug 26, 2023
20
In
TDS Archive
by
Dimitris Poulopoulos
The Ultimate Guide to Training BERT from Scratch: IntroductionDemystifying BERT: The definition and various applications of the model that changed the NLP landscape.
Sep 2, 2023
Sep 2, 2023
In
TDS Archive
by
James Briggs
Hugging Face Just Released the Diffusers LibraryMaking diffusers models like DALL-E 2 and Imagen more accessible than ever
Jul 28, 2022
2
Jul 28, 2022
2
In
Towards AI
by
Ala Falaki, PhD
How to Train a Seq2Seq Summarization Model Using “BERT” as Both Encoder and Decoder!! (BERT2BERT)BERT is a well-known and powerful pre-trained “encoder” model. Let’s see how we can use it as a “decoder” to form an encoder-decoder…
Jun 20, 2022
5
Jun 20, 2022
5
In
Generative AI
by
Fabio Chiusano
Building a Knowledge Base from Texts: a Full Practical ExampleImplementing a pipeline for extracting a Knowledge Base from texts or online articles
May 24, 2022
10
May 24, 2022
10
In
TDS Archive
by
Ryan Lempka
Speed up Hugging Face Training Jobs on AWS by Up to 50% with SageMaker Training CompilerAn overview and getting-started guide for the SageMaker Training Compiler
Dec 2, 2021
Dec 2, 2021
In
TDS Archive
by
Heiko Hotz
NLP Data Augmentation on Amazon SageMakerUse SageMaker Processing Jobs to easily augment your NLP Dataset with Hugging Face’s Transformer Models
Feb 15, 2022
Feb 15, 2022
 This story is no longer available
In
Chatbots Life
by
AI Brewery
Conversational Chatbot using Transformers and StreamlitArtificial Intelligence is rapidly getting into the workflow of many businesses across various industries. Due to the advancements in…
Nov 20, 2021
4
Nov 20, 2021
4
Vishnu Nandakumar
AI in the real world — 3. Make your own GrammarlyGrammarly is one of the major breakthroughs that AI has made in this decade. I am presuming that most of us know what Grammarly is and how…
Dec 18, 2021
Dec 18, 2021
In
TDS Archive
by
Moshe Wasserblat
Sentence Transformer Fine-Tuning (SetFit): Outperforms GPT-3 on few-shot Text-Classification while…The GPT-n series show very promising results for few-shot NLP classification tasks and keep improving as their model size increases [YK1]…
Dec 14, 2021
7
Dec 14, 2021
7
In
TDS Archive
by
Remi Ouazan Reboul
Distillation of BERT-like models: the theoryLet’s take a look at how we can apply DistilBERT’s reasoning to distil any of our own BERT-like models.
Dec 10, 2021
2
Dec 10, 2021
2
Deepak
How to train a model to generate Movie/T.V show plot from a posterAll of the plots in the above images were generated by a machine learning model that Kartik Godawat and I built as part of Hugging Face’s…
Dec 9, 2021
Dec 9, 2021
In
TDS Archive
by
Heiko Hotz
Serverless NLP Inference on Amazon SageMaker with Transformer Models from Hugging FaceDeploy your NLP models serverless. No infrastructure management. Pay as you go!
Dec 9, 2021
4
Dec 9, 2021
4
In
TDS Archive
by
Jake Grigsby
Multivariate Time Series Forecasting with TransformersSpatiotemporal Learning Without a Graph
Oct 28, 2021
6
Oct 28, 2021
6
In
NVIDIA Merlin
by
Gabriel Moreira
Transformers4Rec: A flexible library for Sequential and Session-based recommendationSequential recommendation algorithms are able to capture sequential patterns in users browsing might help to anticipate the next user…
Sep 24, 2021
2
Sep 24, 2021
2
In
TDS Archive
by
James Briggs
Build NLP Pipelines With HuggingFace DatasetsA treasure trove and unparalleled pipeline tool for NLP practitioners
Sep 24, 2021
Sep 24, 2021
In
DataSeries
by
Jesus Rodriguez
Google TAPAS is a BERT-Based Model to Query Tabular Data Using Natural LanguageThe new neural network extends BERT to interact with tabular datasets.
Sep 7, 2020
1
Sep 7, 2020
1
In
SyncedReview
by
Synced
Google’s H-Transformer-1D: Fast One-Dimensional Hierarchical Attention With Linear Complexity for…Transformer architectures’ powerful attention mechanisms are capable of pushing SOTA performance across various natural language processing…
Aug 5, 2021
1
Aug 5, 2021
1