jeongukjae / smaller-labse
Applying "Load What You Need: Smaller Versions of Multilingual BERT" to LaBSE
☆18Updated 3 years ago
Alternatives and similar repositories for smaller-labse:
Users that are interested in smaller-labse are comparing it to the libraries listed below
- A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering☆16Updated 2 years ago
- Tutorial to pretrain & fine-tune a 🤗 Flax T5 model on a TPUv3-8 with GCP☆58Updated 2 years ago
- Megatron LM 11B on Huggingface Transformers☆27Updated 3 years ago
- exBERT on Transformers🤗☆10Updated 3 years ago
- Implementation of stop sequencer for Huggingface Transformers☆16Updated last year
- Anh - LAION's multilingual assistant datasets and models☆27Updated last year
- Helper scripts and notes that were used while porting various nlp models☆45Updated 3 years ago
- Difference-based Contrastive Learning for Korean Sentence Embeddings☆24Updated last year
- Load What You Need: Smaller Multilingual Transformers for Pytorch and TensorFlow 2.0.☆102Updated 2 years ago
- Calculating Expected Time for training LLM.☆38Updated last year
- ☆21Updated 3 years ago
- Hate speech detection corpus in Korean, shared with EMNLP 2023 paper☆14Updated 11 months ago
- Research code for the paper "How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models"☆26Updated 3 years ago
- A Framework aims to wisely initialize unseen subword embeddings in PLMs for efficient large-scale continued pretraining☆16Updated last year
- A package for fine-tuning Transformers with TPUs, written in Tensorflow2.0+☆37Updated 4 years ago
- Pytorch Implementation of EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks☆63Updated 3 years ago
- TorchServe+Streamlit for easily serving your HuggingFace NER models☆32Updated 2 years ago
- Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper☆52Updated last year
- zero-vocab or low-vocab embeddings☆18Updated 2 years ago
- Training and evaluation code for the paper "Headless Language Models: Learning without Predicting with Contrastive Weight Tying" (https:/…☆26Updated 11 months ago
- reference pytorch code for intent classification☆44Updated 5 months ago
- Convenient Text-to-Text Training for Transformers☆19Updated 3 years ago
- Abstractive summarization using Bert2Bert framework.☆31Updated 4 years 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.☆93Updated 2 years ago
- ☆34Updated 4 years ago
- KETOD Knowledge-Enriched Task-Oriented Dialogue☆32Updated 2 years ago
- Ensembling Hugging Face transformers made easy☆62Updated 2 years ago
- No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval☆28Updated 2 years ago
- python project template for personal projects! 🙋♀️☆10Updated 4 years ago