# sparse-encoder/splade-camembert-base-v2

Model from Hugging Face for feature extraction: sparse-encoder/splade-camembert-base-v2 · sentence transformers

## Facts

- Type: Embedding
- Task: feature-extraction
- Framework: sentence-transformers
- License: apache-2.0 — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/Apache-2.0.html)
- Source: https://huggingface.co/sparse-encoder/splade-camembert-base-v2
- Hosting: unknown (no download location recorded)
- Files: 11 listed, none hosted here
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: availability unknown
- Full repo upstream: 445.4 MB
- Recommended file: 442.6 MB · model.safetensors
- Download: none recorded
- Per-file SHA-256: not available (no files hosted on Hugging Bay)
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 1659
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for sparse-encoder/splade-camembert-base-v2. Task: feature extraction. Library: sentence transformers. Languages: fr. Datasets referenced by card metadata: arthurbresnu/msmarco-Qwen3-Reranker-0.6B-french. Base model: almanach/camembert-base. Includes 12 model-card evaluation signals. Popularity signal at import: 1,659 downloads and 0 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: feature-extraction
- Library: sentence-transformers
- Base model: almanach/camembert-base
- Task categories: feature-extraction
- Languages: fr
- Referenced datasets: arthurbresnu/msmarco-Qwen3-Reranker-0.6B-french
- Metrics: dot_accuracy@1, dot_accuracy@3, dot_accuracy@5, dot_accuracy@10, dot_precision@1, dot_precision@3, dot_precision@5, dot_precision@10
- Paper ids: 1908.10084, 2205.04733, 2010.02666, 2004.05665
- Model-index entries: splade-camembert-base-v2
- Evaluation signals: 12 model-card eval results
- File hints: 11 upstream file samples

## Evaluation Signals

- NanoFrenchMSMARCO: Dot Accuracy@1 = 0.36 (Sparse Information Retrieval)
- NanoFrenchMSMARCO: Dot Accuracy@3 = 0.56 (Sparse Information Retrieval)
- NanoFrenchMSMARCO: Dot Accuracy@5 = 0.64 (Sparse Information Retrieval)
- NanoFrenchMSMARCO: Dot Accuracy@10 = 0.82 (Sparse Information Retrieval)
- NanoFrenchMSMARCO: Dot Precision@1 = 0.36 (Sparse Information Retrieval)
- NanoFrenchMSMARCO: Dot Precision@3 = 0.18666666666666668 (Sparse Information Retrieval)
- NanoFrenchMSMARCO: Dot Precision@5 = 0.128 (Sparse Information Retrieval)
- NanoFrenchMSMARCO: Dot Precision@10 = 0.08199999999999999 (Sparse Information Retrieval)
- NanoFrenchNFCorpus: Dot Accuracy@1 = 0.38 (Sparse Information Retrieval)
- NanoFrenchNFCorpus: Dot Accuracy@3 = 0.54 (Sparse Information Retrieval)

## Referenced Data

- Dataset: arthurbresnu/msmarco-Qwen3-Reranker-0.6B-french
- Paper: 1908.10084
- Paper: 2205.04733
- Paper: 2010.02666
- Paper: 2004.05665

## File Hints

- .gitattributes (1.5 KB)
- 1_SpladePooling/config.json (107 B)
- README.md (330 KB)
- config.json (664 B)
- config_sentence_transformers.json (279 B)
- model.safetensors (422 MB) LFS
- modules.json (274 B)
- sentence_bert_config.json (57 B)
- special_tokens_map.json (374 B)
- tokenizer.json (2.3 MB)
- tokenizer_config.json (1.8 KB)

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: pending

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-22T14:20:10.912Z.
- Open license detected as apache-2.0.
- Model-index metadata found for splade-camembert-base-v2.
- Model card references dataset context: arthurbresnu/msmarco-Qwen3-Reranker-0.6B-french.
- Not locally hosted, mirrored, signed, or rescanned by Hugging Bay.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-sparse-encoder-splade-camembert-base-v2
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-sparse-encoder-splade-camembert-base-v2/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-sparse-encoder-splade-camembert-base-v2/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-sparse-encoder-splade-camembert-base-v2/distribution
- Manifest: not available until files are hosted and release checks pass.
- Request mirror: POST https://huggingbay.xyz/api/artifacts/hf-model-sparse-encoder-splade-camembert-base-v2/mirror-request
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-sparse-encoder-splade-camembert-base-v2/decentralized-fallbacks