Get a Demo

Ai Model

FacebookAI/roberta-large-mnli

Back to all
Ai Model

FacebookAI/roberta-large-mnli

Hugging Face

Package Version Scores

Overall
8
/10
Security
8
Activity
9
Popularity
8
Quality
7
All Factors
Security
Activity
Popularity
Quality
Quality
Pull Requests from Bots
Pull requests from bot accounts indicate that the project is using automation for development tasks.
Quality
Pull Requests from Bots
Pull requests from bot accounts indicate that the project is using automation for development tasks.

Model Metadata

Model Size:
356412419
Tensor Type:
F32
Author:
FacebookAI
Last Modified:
Created:
Requires Authentication:
false
Gated:
false
Downloads:
401051
Library:
transformers
Likes:
206
Spaces Using Model:
yizhangliu/Grounded-Segment-Anything, exbert-project/exbert, ethanchern/Anole, hasaniqbal777/OpenFactCheck, ccolas/TastyPiano, engralimalik/Smart-Expense-Tracker, amsterdamNLP/attention-rollout, Kuaaangwen/auto-grader, wozwize/media-unmasked-api, qtoino/form_matcher, Yugang998/Grounded-Segment-Anything, xuan2k/Thesis-Demo, VTechAI/Segment-Anything, ProfesssorHulk/FacebookAI-roberta-large-mnli, Yadav88/FAKE, clef/PRENT-Codebook, PRENT/PRENT-Codebook, clef/PRENT-Demo, PRENT/PR-ENT_Dashboard, rrevoid/article_classifier, slachitoff/CS-GY_6613_Project, Ariel8/sentiment-analysis, yhn112/article_classifier, Ariel8/Toxic-Tweets, ethanrom/ethanrom-a2, Snowball/Watermarking_Generate_Text, luiscgp/Fact_Checking_Blue_Amazon, siddhantuniyal/rakshak-rit-pipeline, homeway/PromptCARE, LastSmile/CodeLlama-7b, Tirath5504/RakshakRita_SentimentPipeline, adamtayzzz/test_skim, DoruC/Grounded-Segment-Anything, binqiangliu/HuggingFaceH4-StarChat-Beta-Pipeline, HFHAB/zero_shot_classification, simon-clmtd/exbert, BengaliNLP/bertspace, HTAR5/sid_rath, wyjlu/Grounded-Segment-Anything, NRbones/Grounded-Segment-Anything, zmbfeng/dtcda, GabrielVillarreal-UPB/Practica4, LucasSanchez12/practice-4, anonymousatom/Anole, PANH/alignscore-safetensor, Kaizouku/Multi-model-Chatbot, hasaniqbal777/OpenFactCheck-Prerelease, elimaneyaxn/testimpactV0, halejosm/especializacion_ia, alivegames/Grounded-Segment-Anything, tjblavakumar/fednowchatbot, Sanjayan201/my-image-matching-app, jayanthipattusamy91/FacebookAI-roberta-large-mnli, rutul8016/nlppp, RyanS974/525GradioApp, kerols77/grade, Gaetano99949/averitec_DE_Angelis, Gaetano99949/gaetanodeangelis, Raedeon/News_Categorization_and_Biasing, yifan0sun/BERTGradGraph, MEO1/celiski-analizi, naveenus/ZeroShotTagger, p3terkioko/claims, AhmadXGaballah/Fact_Checker1, ClaCe/FindHugForPMwithKey, manayporwal07/Agentic-Evaluation-Framework, Supastrikas-004/A-LEAF, rishiya27/action, amdjoynal443/Poetry_Battle, AiAnber/speech_threat_detection, Penguin27/ukweli-lens-api, sharath88/contradiction-entailment-demo, Danielchris145/TruthCheck-AI, TopoPanda/trustlens-backend, Munshifff/Fake_review_analyzz, rahuldoesgithub/factcheck-ai
Tags:
transformers, pytorch, tf, jax, safetensors, roberta, text-classification, autogenerated-modelcard, en, dataset:multi_nli, dataset:wikipedia, dataset:bookcorpus, arxiv:1907.11692, arxiv:1806.02847, arxiv:1804.07461, arxiv:1704.05426, arxiv:1508.05326, arxiv:1809.05053, arxiv:1910.09700, license:mit, endpoints_compatible, deploy:azure, region:us

Secure your AI-native apps

Map your AI attack surface
Map AI models, APIs, and dependencies
Continuously assess AI models for risks
Enforce policies for secure AI adoption

References

Basic Information

Release Date
License
mit

Secure your AI-native apps

Discover and assess all AI models, APIs, and dependencies in your code.
Map your AI attack surface