jaketae / ensemble-transformersLinks
Ensembling Hugging Face transformers made easy
β63Updated 2 years ago
Alternatives and similar repositories for ensemble-transformers
Users that are interested in ensemble-transformers are comparing it to the libraries listed below
Sorting:
- Repo for training MLMs, CLMs, or T5-type models on the OLM pretraining data, but it should work with any hugging face text dataset.β93Updated 2 years ago
- π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.β82Updated 3 years ago
- [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Followingβ79Updated 10 months ago
- Pytorch Implementation of EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasksβ63Updated 3 years ago
- Long-context pretrained encoder-decoder modelsβ96Updated 2 years ago
- β54Updated 2 years ago
- Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.β82Updated 10 months ago
- A Framework aims to wisely initialize unseen subword embeddings in PLMs for efficient large-scale continued pretrainingβ18Updated last year
- Calculating Expected Time for training LLM.β38Updated 2 years ago
- Mr. TyDi is a multi-lingual benchmark dataset built on TyDi, covering eleven typologically diverse languages.β78Updated 3 years ago
- This repository contains the code for paper Prompting ELECTRA Few-Shot Learning with Discriminative Pre-Trained Models.β48Updated 3 years ago
- Observe the slow deterioration of my mental sanity in the github commit historyβ12Updated 2 years ago
- Research code for the paper "How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models"β27Updated 3 years ago
- β29Updated last year
- BLOOM+1: Adapting BLOOM model to support a new unseen languageβ73Updated last year
- ACL22 paper: Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Costβ41Updated last year
- β21Updated 3 years ago
- [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuningβ99Updated 2 years ago
- Official repository for our EACL 2023 paper "LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization" (httpsβ¦β44Updated 11 months ago
- PyTorch reimplementation of the paper "SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization"β16Updated 3 years ago
- Dense hybrid representations for text retrievalβ63Updated 2 years ago
- Official code and model checkpoints for our EMNLP 2022 paper "RankGen - Improving Text Generation with Large Ranking Models" (https://arxβ¦β136Updated 2 years ago
- β100Updated 2 years ago
- An instruction-based benchmark for text improvements.β141Updated 2 years ago
- Apps built using Inspired Cognition's Critique.β58Updated 2 years ago
- FactSumm: Factual Consistency Scorer for Abstractive Summarizationβ111Updated last year
- Convenient Text-to-Text Training for Transformersβ19Updated 3 years ago
- [TMLR'23] Contrastive Search Is What You Need For Neural Text Generationβ119Updated 2 years ago
- No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrievalβ29Updated 2 years ago
- Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"β86Updated 11 months ago