latest | popular

Filter by
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
BLINK: Better entity LINKing
Entity Linking python library that uses Wikipedia as the target knowledge base.
named-entity-recognition wikification natural-language-processing code
Transformers - Hugging Face
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
transformers huggingface attention bert
Finetune: Scikit-learn Style Model Finetuning for NLP
Finetune is a library that allows users to leverage state-of-the-art pretrained NLP models for a wide variety of downstream tasks.
natural-language-processing finetuning pretraining transformers
API for accessing new AI models developed by OpenAI.
natural-language-processing language-modeling api openai
BERT Loses Patience: Fast and Robust Inference with Early Exit
Patience-based Early Exit, a inference method that can be used as a plug-and-play technique to simultaneously improve the efficiency of a pretrained LM.
bert inference optimization language-modeling
Auto-regressive flow-based generative network for text to speech synthesis.
text-to-speech-synthesis tts flowtron tacotron
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
The Big Bad NLP Database
A collection of 400+ NLP datasets with papers included.
datasets natural-language-processing library
projects 1 - 10 of 60
Topic experts
Share your project
Discover, build and share what you've made with ML.
Share someone else's project
Share something interesting you found that's made with ML.