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This repository contains the Hugging Face Agents Course.
Repo for the paper "Fine-Grained Prediction of Reading Comprehension from Eye Movements"
Data and software for building the ACL Anthology.
Evaluation pipeline for the BabyLM Challenge 2023.
A collection of text simplification datasets and other resources
SONAR, a new multilingual and multimodal fixed-size sentence embedding space, with a full suite of speech and text encoders and decoders.
Large Concept Models: Language modeling in a sentence representation space
Efficiently find the best-suited language model (LM) for your NLP task
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Access a database of word frequencies, in various natural languages.
The public data and evaluation scripts for the MLSP 2024 Shared Task
Sentence-Level Text Simplification for Dutch
Code for "How to Plant Trees in Language Models" (ACL 2023).
Repository to host the startup files for the LLAMA2 project
🦙 Integrating LLMs into structured NLP pipelines
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Interpretability and explainability of data and machine learning models
This repository contains the code used for distillation and fine-tuning of compact biomedical transformers that have been introduced in the paper "On The Effectiveness of Compact Biomedical Transfo…
[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
EMNLP 2022: Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework
A framework for adversarial attacks against token classification models
An Open-Source Package for Textual Adversarial Attack.
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/