mmBERT-base
jhu-clsp · Kit
Reads and encodes text in over 1,800 languages, for classification, embeddings, retrieval and fill-in-the-blank tasks. Built for developers and researchers who…
jhu-clsp · Kit
Reads and encodes text in over 1,800 languages, for classification, embeddings, retrieval and fill-in-the-blank tasks. Built for developers and researchers who…
sarulab-speech · Kit
A model published by sarulab-speech on top of facebook/w2v-bert-2.0, with files you can download. Its card says little about the task, so it suits people who w…
protectai · Kit
Flags English text that tries to hijack a language model, labeling each input as benign or prompt injection. For developers who screen user input in LLM apps.
neuralmind · Kit
A BERT model pretrained on Brazilian Portuguese that fills in masked words and produces text embeddings. For NLP developers and researchers who work with Portu…
Hooshaai · Kit
Classifies English text, such as SST-2 sentiment, with a RoBERTa Base model whose attention is made sparse by AdaSplash, trading some accuracy for lower latenc…
Hooshaai · Kit
Classifies English text with a RoBERTa Base model shrunk to about 82M parameters by Fisher-weighted SVD at rank 32, trading some accuracy for lower latency and…
Hooshaai · Kit
A RoBERTa Base sentiment classifier whose attention is swapped for a sparse AdaSplash version, which zeroes out 40% of attention weights to cut time and memory…
Hooshaai · Kit
A DistilBERT text classifier fine-tuned on GLUE SST-2 that swaps in a compressed random-projection attention to halve the scoring work. An experiment for resea…
google-bert · Kit
Fills in masked words and extracts text features in 104 languages. A case-sensitive BERT base model meant to be fine-tuned for classification, tagging and ques…
google-bert · Kit
Predicts masked words in Chinese text, as Google's BERT base model pre-trained for Chinese. It suits developers and researchers who build Chinese language tool…
answerdotai · Kit
Predicts a hidden word in English text or code, and after fine-tuning serves as a larger long-context encoder for search, classification and retrieval. Made fo…
answerdotai · Kit
Predicts a hidden word in English text or code, and after fine-tuning serves as a long-context encoder for search, classification and retrieval. Made for devel…
tasksource · Kit
Pulls answers out of a text for fields you describe in short instructions, such as invoice numbers or company names, and returns the matching spans. One 150M m…
perplexity-ai · Kit
Scores queries against text, images and document pages with a ColBERT-style model that keeps one small vector per token. For developers who build search over m…
intfloat · Kit
Turns text in about 100 languages into 1024-number vectors for search, matching and retrieval. A 560M-parameter embedding model from intfloat, built on xlm-rob…
dslim · Kit
Finds and labels people, organizations, locations and miscellaneous names in English text. A fine-tuned BERT model for named entity recognition, used through t…
distilbert · Kit
A small, fast English language model distilled from BERT base, with 67M parameters. Fills in masked words and is mainly meant to be fine-tuned for classificati…
dmis-lab · Kit
Predicts masked words in English text and gives you a pre-trained encoder with a 32K context to fine-tune for classification or retrieval. A fill-mask model fr…
google-bert · Kit
Fills in masked words and extracts text features for English. The uncased BERT base model from Google, meant to be fine-tuned for classification, tagging and q…
kingfisher · Kit
Finds named entities in text with the dslim/bert-base-NER model in a Streamlit page. Aimed at students and developers who want to see entity recognition work o…
jfarray · Kit
Compares how close in meaning texts are, using a multilingual BERT model in a Gradio page, with a sample JSON file included. For NLP students and researchers.
Hellisotherpeople · Kit
Pulls keywords out of text with KeyBERT in a Streamlit page, for researchers, students and developers who want to try keyword extraction without writing code.
Hellisotherpeople · Kit
Finds topics in a collection of texts with BERTopic in a Streamlit page, for researchers and analysts who want to try topic modeling without writing code.
alperbayram · Kit
A Gradio app for sentiment analysis of Turkish text using the savasy/bert-base-turkish-sentiment-cased model. It suits people who want to check the tone of Tur…
ajitrajasekharan · Kit
A Streamlit app for comparing pretrained language models by eye. It names six models, from scientific, biomedical and legal ones to general BERT, and suits peo…
Manii77 · Kit
Reads a movie review and judges its sentiment with a DistilBERT model, for people who want a quick, automatic read on how a review feels.
r3gm · Kit
A voice conversion demo based on VITS, run from your browser. It ships a sample voice model, example audio and a HuBERT base model. Suits audio hobbyists and d…