UltraBERT: One Encoder for Classification and Retrieval
dmis-lab
• • 59Community Blog & Articles
Community Articles
view all
partnershipsaws
The Partnership: Amazon SageMaker and Hugging Face
4
March 23, 2021 
guide
My Journey to a serverless transformers pipeline on Google Cloud
2
March 18, 2021 
guideaudio
Fine-Tune Wav2Vec2 for English ASR in Hugging Face with 🤗 Transformers
45
March 12, 2021 
researchnlp
Hugging Face Reads, Feb. 2021 - Long-range Transformers
3
March 9, 2021 
guide
Simple considerations for simple people building fancy neural networks
2
February 25, 2021 
open-source-collabnlp
Retrieval Augmented Generation with Huggingface Transformers and Ray
6
February 10, 2021 
open-source-collab
Hugging Face on PyTorch / XLA TPUs
4
February 9, 2021 
guidenlp
Faster TensorFlow models in Hugging Face Transformers
January 26, 2021
guide
Fit More and Train Faster With ZeRO via DeepSpeed and FairScale
6
January 19, 2021 
analysisnlp
How we sped up transformer inference 100x for 🤗 API customers
1
January 18, 2021 
guidenlp
Leveraging Pre-trained Language Model Checkpoints for Encoder-Decoder Models
16
November 9, 2020 
open-source-collabnlp
Porting fairseq wmt19 translation system to transformers
2
November 3, 2020 
open-source-collabnlp
Hyperparameter Search with Transformers and Ray Tune
5
November 2, 2020 
researchnlp
Transformer-based Encoder-Decoder Models
29
October 10, 2020 NEW Articles from Team or Enterprise organizations will get promoted to the main section.
UltraBERT: One Encoder for Classification and Retrieval
dmis-lab
• • 59The Missing Piece in LLM Memory: Why Long Context and Retrieval Aren't Enough for Belief Revision
boltwave
• • 59Tokenmaxxing BERT: 50x faster tokenization
huggingface
• • 49Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline
nvidia
• • 47Introducing Lumma-Fev-27B
FrontiersMind
• • 26One Decision Model Instead of a Ranking Team: Short-Video and News Recommendation with autotrust/JEV-27B-VL
autotrust
• • 22SlideOn & mSlideOn: Sparsified Late-Interaction and Dense Retrievers
lightonai
• • 18When agents self-improve, what should persist?
BunsDev
• • 16HiRO-ACEv2: Simulating extreme weather at 3 km resolution for a fraction of the cost
allenai
• • 14Backpropagation on an Inference-Only NPU: Pretraining VKORE-46M-NPU From Scratch
FINAL-Bench
• • 13Do we really need bigger AI weather forecasting models to improve resolution?
EmmaScharfmann
• • 8Impactful scheduling for GPU clusters
allenai
• • 54Sort your prompts: a free speed-up for MoE batch inference
badaoui
• • 8The Most Intuitive Way to Understand Score Function Centering: Understand Trainer-Generator Mismatch in Async RL from the Score Function
NormalUhr
• • 8Estimating physics from images: what real measurements reveal
projectsim
• • 8QVAC TranscribePsy: State-of-the-Art On-Device Multilingual Speech Recognition
qvac
• • 7New in llama.cpp: Decision Models
ggml-org
• • 105ColGrep-Agent: Cutting Frontier Coding Agents’ Tokens by a Third
lightonai
• • 20LightOnOCR-3: High-Performance OCR and Layout Extraction in One Model
lightonai
• • 39Fine-Tune ASR for Your Domain with NVIDIA Speech Agent Skills
nvidia
• • 13