Ankush7890 / ssfinetuningLinks
A package for fine tuning of pretrained NLP transformers using Semi Supervised Learning
☆14Updated 3 years ago
Alternatives and similar repositories for ssfinetuning
Users that are interested in ssfinetuning are comparing it to the libraries listed below
Sorting:
- Embedding Recycling for Language models☆38Updated 2 years ago
- ☆46Updated 3 years ago
- ☆29Updated 3 years ago
- This repository contains the code for paper Prompting ELECTRA Few-Shot Learning with Discriminative Pre-Trained Models.☆48Updated 3 years ago
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- ☆14Updated last year
- A library for parameter-efficient and composable transfer learning for NLP with sparse fine-tunings.☆74Updated last year
- Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"☆59Updated 2 years ago
- Starbucks: Improved Training for 2D Matryoshka Embeddings☆22Updated 3 months ago
- Ranking of fine-tuned HF models as base models.☆36Updated 3 weeks ago
- Repo for training MLMs, CLMs, or T5-type models on the OLM pretraining data, but it should work with any hugging face text dataset.☆95Updated 2 years ago
- [ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators☆25Updated 2 years ago
- No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval☆29Updated 3 years ago
- ☆21Updated 4 years ago
- Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data☆57Updated 4 years ago
- Language-agnostic BERT Sentence Embedding (LaBSE) Pytorch Model☆21Updated 5 years ago
- ☆54Updated 2 years ago
- Transformers at any scale☆41Updated last year
- Implementation of the paper 'Sentence Bottleneck Autoencoders from Transformer Language Models'☆17Updated 3 years ago
- No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)☆29Updated 3 years ago
- Code base for the EMNLP 2021 Findings paper: Cartography Active Learning☆14Updated 4 months ago
- [EMNLP 2022] Language Model Pre-Training with Sparse Latent Typing☆14Updated 2 years ago
- [ICLR 2023] PyTorch code of Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees☆24Updated 2 years ago
- ☆59Updated 4 years ago
- Multilingual Entity Linking model by BELA model☆12Updated 2 years ago
- Training and evaluation code for the paper "Headless Language Models: Learning without Predicting with Contrastive Weight Tying" (https:/…☆27Updated last year
- Task Compass: Scaling Multi-task Pre-training with Task Prefix (EMNLP 2022: Findings) (stay tuned & more will be updated)☆22Updated 2 years ago
- Few-shot Learning with Auxiliary Data☆31Updated last year
- 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.☆81Updated 3 years ago
- ☆12Updated last year