🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Code for NAACL 2025 paper "AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge"

A curated list of research papers and resources on code-switching

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Code for paper: "LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits"

Reasoning by Communicating with Agents

List of AI Residency Programs

Code for ACL 2024 paper "Soft Self-Consistency Improves Language Model Agents"

PyTorch code for System-1.x: Learning to Balance Fast and Slow Planning with Language Models

natual language guided image captioning

MEND: Fast Model Editing at Scale

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a ca…

XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.

Speech Recognition using DeepSpeech2.

Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"