Who should use Deberta V3 Base Zeroshot?

Deberta V3 Base Zeroshot is an open-source project built for developers.

Is Deberta V3 Base Zeroshot free?

Yes — Deberta V3 Base Zeroshot is open source under the Apache-2.0 license and free to use.

What platforms does Deberta V3 Base Zeroshot run on?

Deberta V3 Base Zeroshot runs on the web, the command line, and API.

Is Deberta V3 Base Zeroshot still maintained?

Unverified. Deberta V3 Base Zeroshot has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What projects are similar to Deberta V3 Base Zeroshot?

Similar projects tracked by PulseGate include Deberta V3 Large Zeroshot, Deberta V3 Large Zeroshot, and Deberta V3 Xsmall Zeroshot V1.1 All 33.

Who develops Deberta V3 Base Zeroshot?

Deberta V3 Base Zeroshot is developed by Moritz Laurer.

When did Deberta V3 Base Zeroshot launch?

Deberta V3 Base Zeroshot first shipped in 2023.

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Deberta V3 Base Zeroshot

Name: Deberta V3 Base Zeroshot
Author: Moritz Laurer

huggingface.coInfrastructure

A DeBERTa-v3-base model fine-tuned for zero-shot classification by framing the task as textual entailment. It allows users to classify text using any set of labels at inference time without retraining. The model is available on Hugging Face and works with standard Transformers pipelines.

Open SourceApache-2.0WebCLIAPI

Visit huggingface.co

140stars

13forks

3alternatives

3features

2023since

Overview

3 features

In the Other AI space, Deberta V3 Base Zeroshot takes a focused approach. It focuses on classifying text into arbitrary categories without task-specific labeled training data using natural language hypotheses. Deberta V3 Base Zeroshot is an open-source project aimed at developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.

Moritz Laurer builds and maintains Deberta V3 Base Zeroshot, and it first shipped in 2023. The project is developed in the open on GitHub with 140 stars. Among its 3 catalogued features are Zero-Shot Classification, Natural Language Inference, and Multi-label Classification.

Summary written by a language model from the project’s public pages.

Zero-Shot Classification
Natural Language Inference
Multi-label Classification

Built with & integrations

Hosting

AWS

Runs on

BrowserCLIAPI-only

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header

Trust & compliance

License

Apache-2.0

Verified signals

HTTPSPrivacy Policy Terms of ServiceOpen SourceFree tier

Legal

Indexing history

What PulseGate has recorded for this listing

Indexed28 Jul · 10:14 UTC
MoritzLaurer/deberta-v3-base-zeroshot-v2.0 verified against its public source
Source: PulseGate · Open

Frequently asked questions about Deberta V3 Base Zeroshot

What is Deberta V3 Base Zeroshot?: Deberta V3 Base Zeroshot focuses on classifying text into arbitrary categories without task-specific labeled training data using natural language hypotheses. It is catalogued under Other AI on PulseGate.
Who should use Deberta V3 Base Zeroshot?: Deberta V3 Base Zeroshot is an open-source project built for developers.
Is Deberta V3 Base Zeroshot free?: Yes — Deberta V3 Base Zeroshot is open source under the Apache-2.0 license and free to use.
What platforms does Deberta V3 Base Zeroshot run on?: Deberta V3 Base Zeroshot runs on the web, the command line, and API.
Is Deberta V3 Base Zeroshot still maintained?: Unverified. Deberta V3 Base Zeroshot has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to Deberta V3 Base Zeroshot?: Similar projects tracked by PulseGate include Deberta V3 Large Zeroshot, Deberta V3 Large Zeroshot, and Deberta V3 Xsmall Zeroshot V1.1 All 33.Deberta V3 Large Zeroshot Deberta V3 Large Zeroshot Deberta V3 Xsmall Zeroshot V1.1 All 33
Who develops Deberta V3 Base Zeroshot?: Deberta V3 Base Zeroshot is developed by Moritz Laurer.
When did Deberta V3 Base Zeroshot launch?: Deberta V3 Base Zeroshot first shipped in 2023.

At a glance

Pricing: Open Source
Platforms: Cli · Web
Languages: English
License: Apache-2.0
Built for: developers
Model: Open source
Solves: Classifying text into arbitrary categories without task-specific labeled training data using natural language hypotheses.

Registered as

Hugging Face: MoritzLaurer/deberta-v3-base-zeroshot-v2.0

Developer

Moritz Laurer

Small team

Open source

Stars: 140
Forks: 13
Open issues: 1
Last commit: 28 Dec 2024
Commits 90d: 0
Contributors: 3
Authorship: Small team
Default branch: main
Latest release: DOI · 19 Mar 2024

Live coverage

Identity confidence: Medium · 70.4
Indexed: 28 Jul 2026
Lifecycle: Alive
Last seen: 28 Jul 2026

Identity audit (13)

Slug: moritzlaurer-deberta-v3-base-zeroshot-v2-0-huggingface-co
Lifecycle state recorded: 28 Jul 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 28 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Derived from the model's own Hugging Face metadata.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 6 Aug 2026
Canonical URL: https://huggingface.co/MoritzLaurer/deberta-v3-base-zeroshot-v2.0

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