HomeModelsFeature Extractionfacebook/bart-large
B

facebook/bart-large

Feature Extraction·facebook· 123.0K· 201
transformers apache-2.0 Feature Extraction arxiv:1910.13461license:apache-2.0deploy:azure

BART model pre-trained on English language. It was introduced in the paper BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension by Lewis et al. and first released in this repository.

Open in MLForge Sign up free Desktop app Source ↗
# pull & run locally
pip install mlforge-sdk && mlforge pull facebook/bart-large

Model details

Task
Feature Extraction
Provider
facebook
Framework
transformers
Size
23 GB
License
apache-2.0
Downloads
123.0K
Likes
201
Paper
arXiv:1910.13461
Updated
2022-06-03

About facebook/bart-large

BART model pre-trained on English language. It was introduced in the paper BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension by Lewis et al. and first released in this repository.

Related Feature Extraction

B BAAI/bge-small-en-v1.5 Feature Extraction ·33.4M params 61.8M 497 🤗 HF B BAAI/bge-large-en-v1.5 Feature Extraction ·335.1M params 14.9M 688 🤗 HF Q Qwen/Qwen3-Embedding-0.6B Feature Extraction ·595.8M params 10.5M 1.1K 🤗 HF B BAAI/bge-base-en-v1.5 Feature Extraction ·109.5M params 8.6M 441 🤗 HF M intfloat/multilingual-e5-large Feature Extraction ·559.9M params 8.1M 1.2K 🤗 HF M mixedbread-ai/mxbai-embed-large-v1 Feature Extraction ·335.1M params 6.0M 810 🤗 HF

Browse all Feature Extraction models →