Spaces:
Running on Zero
A newer version of the Gradio SDK is available: 6.24.0
title: Agentic NLI
emoji: 🔗
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
AFVE NLI Space
This folder is the source-of-truth for the Hugging Face Space that serves AFVE NLI scoring over HTTP.
The Space mirrors the local AFVE NLI pipeline shape: it accepts a JSON list of { "text": premise, "text_pair": hypothesis } objects and returns the same list of { "label": string, "score": number } objects produced by the local Transformers text-classification pipeline.
The model defaults to cross-encoder/nli-deberta-v3-base to match the current backend AFVE setting. To run cross-encoder/nli-deberta-v3-small instead, set NLI_MODEL_NAME=cross-encoder/nli-deberta-v3-small in the Space environment.
Render switch-over:
NLI_BACKEND=remoteNLI_SPACE_URL=<your Hugging Face Space URL>
Local development remains unchanged when NLI_BACKEND is unset. To test the Space locally, set both variables in your local .env.
Space sync:
Fill in the actual Space repo URL and preferred sync command:
# Option A: copy this folder into the Space repo and push there.
# Option B: git subtree push --prefix hf-services/afve-nli <SPACE_GIT_REMOTE_URL> main