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arkilite/
xlm-roberta-large-xnli-coreml

Name: xlm-roberta-large-xnli-coreml
Availability: InStock

natural-language-inference

zero-shot-classification

text-classification

apple

multilingual

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xlm-roberta-large-xnli — Core ML

Core ML conversion of joeddav/xlm-roberta-large-xnli, a multilingual 3-class Natural Language Inference model (contradiction / neutral / entailment), built on FacebookAI/xlm-roberta-large and fine-tuned on MultiNLI + XNLI.

This repository only re-packages the original model for on-device inference on Apple platforms (Core ML). The weights and all credit belong to the original authors — see Attribution & license below.

Path	Description
`xlm-roberta-large-xnli.mlpackage/`	Core ML model bundle (`.mlpackage`)
`tokenizer/`	SentencePiece tokenizer: `tokenizer.json`, `sentencepiece.bpe.model`, `tokenizer_config.json`, `special_tokens_map.json`

Conversion notes

Format: Core ML (.mlpackage); runs on the Apple Neural Engine / GPU / CPU through the Core ML runtime.
Fixed-shape input of 512 tokens: the model expects input_ids and attention_mask of length exactly 512 — pad or truncate accordingly.
Output: 3 logits in the order contradiction (0), neutral (1), entailment (2) — apply softmax for probabilities. (Same id2label as the original model.)
Format conversion only: no re-training, no change to the weights.

Attribution & license

Original model: joeddav/xlm-roberta-large-xnli by Joe Davison — license MIT.
Base model: FacebookAI/xlm-roberta-large — MIT.
Training data: MultiNLI and XNLI.
Paper: Unsupervised Cross-lingual Representation Learning at Scale (XLM-R).

This Core ML conversion is distributed under the same MIT license as the original model. If you use it, please credit the original authors above.

arkilite/xlm-roberta-large-xnli-coreml

xlm-roberta-large-xnli — Core ML

Contents

Conversion notes

Attribution & license

arkilite/
xlm-roberta-large-xnli-coreml