all-MiniLM-L6-v2 This is a sentence-transformers(https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search. Usage (Sentence-Transformers) Using t...

Cross-Encoder for MS Marco This model was trained on the MS Marco Passage Ranking(https://github.com/microsoft/MSMARCO-Passage-Ranking) task. The model can be used for Information Retrieval: Given a query, encode the query will all possible passages...

Whisper Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision(https://huggingface.co/papers/2212.04356) by Alec Radford et...

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators ELECTRA is a new method for self-supervised language representation learning. It can be used to pre-train transformer networks using relatively little compute. ELECTRA mode...

sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 This is a sentence-transformers(https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic se...

BERT base model (uncased) Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in this paper(https://arxiv.org/abs/1810.04805) and first released in this repository(https://github.com/google-resear...

Model Card for T5 Small !model image(https://camo.githubusercontent.com/623b4dea0b653f2ad3f36c71ebfe749a677ac0a1/68747470733a2f2f6d69726f2e6d656469756d2e636f6d2f6d61782f343030362f312a44304a31674e51663876727255704b657944387750412e706e67) Table of Con...

FlagEmbedding Model List | FAQ | Usage | Evaluation | Train | Contact | Citation | License More details please refer to our Github: FlagEmbedding(https://github.com/FlagOpen/FlagEmbedding). If you are looking for a model that supports more languages,...

Model Information The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text onl...