Zero-Shot Classification
Transformers
ONNX
Safetensors
Transformers.js
modernbert
text-classification
zero-shot
nli
natural-language-inference
mmbert
Instructions to use Horizon-Labs/multilingual-zeroshot-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Horizon-Labs/multilingual-zeroshot-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Horizon-Labs/multilingual-zeroshot-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Horizon-Labs/multilingual-zeroshot-base") model = AutoModelForSequenceClassification.from_pretrained("Horizon-Labs/multilingual-zeroshot-base", device_map="auto") - Transformers.js
How to use Horizon-Labs/multilingual-zeroshot-base with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('zero-shot-classification', 'Horizon-Labs/multilingual-zeroshot-base'); - Notebooks
- Google Colab
- Kaggle
Commit History
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Card: two more unseen-label benchmarks (MTOP 6 languages, CLINC150)
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v1.3: native-language labels + distillation (native +0.021 MASSIVE / +0.023 SIB-200; B77 .568, SIB .826)
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Card: small v1.3 numbers
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v1.2: distilled from multilingual-zeroshot-large (see card: Versions)
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v1.1: generic-taxonomy training data (see card: v1.0 -> v1.1)
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Release multilingual zero-shot classifier v1.0 (base)
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