hf_repo_name stringlengths 11 100 | url stringlengths 34 123 | text stringlengths 0 728k |
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sentence-transformers/all-MiniLM-L6-v2 | https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2 | ---
base_model:
- nreimers/MiniLM-L6-H384-uncased
language: en
license: apache-2.0
library_name: sentence-transformers
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
datasets:
- s2orc
- flax-sentence-embeddings/stackexchange_xml
- ms_marco
- gooaq
- yahoo_answers_topics
- code_s... |
cross-encoder/ms-marco-MiniLM-L6-v2 | https://huggingface.co/cross-encoder/ms-marco-MiniLM-L6-v2 | ---
license: apache-2.0
datasets:
- sentence-transformers/msmarco
language:
- en
base_model:
- cross-encoder/ms-marco-MiniLM-L12-v2
pipeline_tag: text-ranking
library_name: sentence-transformers
tags:
- transformers
---
# Cross-Encoder for MS Marco
This model was trained on the [MS Marco Passage Ranking](https://githu... |
google-bert/bert-base-uncased | https://huggingface.co/google-bert/bert-base-uncased | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# 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](http... |
BAAI/bge-small-en-v1.5 | https://huggingface.co/BAAI/bge-small-en-v1.5 | ---
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
- mteb
license: mit
language:
- en
model-index:
- name: bge-small-en-v1.5
results:
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (en)
type: mteb/amazon_counterfactu... |
google/electra-base-discriminator | https://huggingface.co/google/electra-base-discriminator | ---
language: en
thumbnail: https://huggingface.co/front/thumbnails/google.png
license: apache-2.0
---
## 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 usin... |
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | ---
language:
- multilingual
- ar
- bg
- ca
- cs
- da
- de
- el
- en
- es
- et
- fa
- fi
- fr
- gl
- gu
- he
- hi
- hr
- hu
- hy
- id
- it
- ja
- ka
- ko
- ku
- lt
- lv
- mk
- mn
- mr
- ms
- my
- nb
- nl
- pl
- pt
- ro
- ru
- sk
- sl
- sq
- sr
- sv
- th
- tr
- uk
- ur
- vi
license: apache-2.0
library_name: sentence-tra... |
sentence-transformers/all-mpnet-base-v2 | https://huggingface.co/sentence-transformers/all-mpnet-base-v2 | ---
language: en
license: apache-2.0
library_name: sentence-transformers
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
- text-embeddings-inference
datasets:
- s2orc
- flax-sentence-embeddings/stackexchange_xml
- ms_marco
- gooaq
- yahoo_answers_topics
- code_search_net
- search... |
BAAI/bge-m3 | https://huggingface.co/BAAI/bge-m3 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
license: mit
---
For more details please refer to our github repo: https://github.com/FlagOpen/FlagEmbedding
# BGE-M3 ([paper](https://arxiv.org/pdf/2402.03216.pdf), [code](https://github.com/FlagOpen/FlagEm... |
Qwen/Qwen3-0.6B | https://huggingface.co/Qwen/Qwen3-0.6B | ---
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-0.6B/blob/main/LICENSE
pipeline_tag: text-generation
base_model:
- Qwen/Qwen3-0.6B-Base
---
# Qwen3-0.6B
<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.... |
openai/clip-vit-base-patch32 | https://huggingface.co/openai/clip-vit-base-patch32 | ---
tags:
- vision
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
candidate_labels: playing music, playing sports
example_title: Cat & Dog
---
# Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found ... |
FacebookAI/xlm-roberta-base | https://huggingface.co/FacebookAI/xlm-roberta-base | ---
tags:
- exbert
language:
- multilingual
- af
- am
- ar
- as
- az
- be
- bg
- bn
- br
- bs
- ca
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lo
- lt
- lv
- mg
- mk
- ml
- mn
-... |
laion/clap-htsat-fused | https://huggingface.co/laion/clap-htsat-fused | ---
license: apache-2.0
language:
- en
pipeline_tag: audio-classification
tags:
- zero-shot audio classification
- zero-shot audio retrieval
---
# Model card for CLAP
Model card for CLAP: Contrastive Language-Audio Pretraining
# Dataset
LAION-CLAP was trained on [LAION-audio-630k](https://github.com/LAION-AI/audio-d... |
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