Mindket

Kits of AI agent skills, rules and prompts

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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…

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sidon-v0.1

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…

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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.

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BERTimbau Base

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…

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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…

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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…

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roberta-base-adasplash

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…

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distilbert-sst2-rpc

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…

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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…

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bert-base-chinese

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…

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ModernBERT-large

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…

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ModernBERT-base

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…

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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…

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pplx-embed-v2-late-0.6b

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…

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multilingual-e5-large

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…

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bert-base-NER

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…

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DistilBERT base uncased

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…

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UltraBERT-380M

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…

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BERT base model (uncased)

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…

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Ner Demo

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…

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