sdadas / polish-robertaLinks
RoBERTa models for Polish
☆87Updated 3 years ago
Alternatives and similar repositories for polish-roberta
Users that are interested in polish-roberta are comparing it to the libraries listed below
Sorting:
- Polish RoBERTA model trained on Polish literature, Wikipedia, and Oscar. The major assumption is that quality text will give a good mode…☆35Updated 4 years ago
- Evaluation of Sentence Representations in Polish☆22Updated 2 years ago
- Polish BERT☆70Updated 4 years ago
- DBMDZ BERT, DistilBERT, ELECTRA, GPT-2 and ConvBERT models☆156Updated 2 years ago
- A curated list of resources dedicated to Natural Language Processing (NLP) in polish. Models, tools, datasets.☆301Updated 3 years ago
- Pre-trained models and language resources for Natural Language Processing in Polish☆345Updated last year
- ☆50Updated 2 years ago
- Pre-trained Nordic models for BERT☆174Updated 3 years ago
- A french sequence to sequence pretrained model☆62Updated 2 years ago
- A Dutch RoBERTa-based language model☆205Updated last year
- LASER multilingual sentence embeddings as a pip package☆224Updated last year
- UmBERTo: an Italian Language Model trained with Whole Word Masking.☆106Updated 2 years ago
- SummVis is an interactive visualization tool for text summarization.☆253Updated 3 years ago
- An open-source text summarization toolkit for non-experts. EMNLP'2021 Demo☆277Updated last year
- Accelerated NLP pipelines for fast inference on CPU. Built with Transformers and ONNX runtime.☆127Updated 4 years ago
- Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13☆182Updated this week
- Python-based implementation of the Translate-Align-Retrieve method to automatically translate the SQuAD Dataset to Spanish.☆59Updated 2 years ago
- Polish morphological tagger.☆43Updated 2 years ago
- Applying BERT to named entity recognition in English and Russian.☆162Updated 2 years ago
- Clustering sentence embeddings to extract message intent☆174Updated 3 years ago
- Segment documents into coherent parts using word embeddings.☆149Updated 3 years ago
- Toolkit to help understand "what lies" in word embeddings. Also benchmarking!☆473Updated 2 years ago
- Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.☆536Updated 2 months ago
- Ten Thousand German News Articles Dataset for Topic Classification☆84Updated 2 years ago
- Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer…☆389Updated 2 years ago
- Shared BERT model for 4 languages of Bulgarian, Czech, Polish and Russian. Slavic NER model.☆76Updated 3 years ago
- spaCy + UDPipe☆161Updated 3 years ago
- Google USE (Universal Sentence Encoder) for spaCy☆184Updated 2 years ago
- The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761☆282Updated 5 years ago
- SpikeX - SpaCy Pipes for Knowledge Extraction☆399Updated 3 years ago