跳转到主要内容

AI models that run on this device.

Two small chat models run in a computer’s browser here; every other model is a file you download.

sparse-encoder

example-splade-co-condenser-marco-msmarco-mse-margin

sparse-encoder/example-splade-co-condenser-marco-msmarco-mse-margin
Model details
text embeddingsLicense: apache-2.0SHA-256 recorded for 8 of 12 filessafetensors

Content controls: not assessed.

The catalog lists this model for turning text into vectors. Catalog sources: license, cardMetadata.license, baseModel, cardMetadata.libraryName, modality, task, cardMetadata.pipelineTag.

Quick answer: compatibility and sources

Can I run example-splade-co-condenser-marco-msmarco-mse-margin on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 8 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

example-splade-co-condenser-marco-msmarco-mse-margin is an embedding model for text embeddings. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

As of the recorded file availability check on .

Recorded SHA-256 for model.safetensors: ce14d5eea9d846b599a2870823ddf642e6a6243d713037f36e2bf43588824e4e. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .

Key facts

Catalog record
Summarizes upstream metadata; it is not itself a download or run receipt.
File evidence
Lists exact filenames, availability and any recorded SHA-256 for individual files.
Run evidence
Reports measured results only when a receipt exists for named file bytes and a setup; otherwise unmeasured.
Checksum scope
SHA-256 fingerprints one file’s bytes; it does not prove safety, quality or a multi-file bundle.

Evidence you can inspect (plain text)

  • This page’s quick answer names the file record for hf-model-sparse-encoder-example-splade-co-condenser-marco-msmarco-mse-margin.
  • Open /artifact/hf-model-sparse-encoder-example-splade-co-condenser-marco-msmarco-mse-margin/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-sparse-encoder-example-splade-co-condenser-marco-msmarco-mse-margin for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-sparse-encoder-example-splade-co-condenser-marco-msmarco-mse-margin/card.md for machine-readable source facts (not a runtime test).
  • A matching checksum on this page fingerprints only the named bytes shown in file evidence.

Unmeasured states are stated explicitly; this page does not invent run scores or compatibility guarantees.

Which date applies to which fact

  • File availability check:
  • Committed page-copy sources:
  • Upstream model metadata: Dates on artifact records when shown; not implied by page-copy revision
  • Run receipts: Only on /evidence pages when recorded; otherwise unmeasured

Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.

8 hosted of 12 listed

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
model.safetensors438.1 MB
ce14d5ee…88824e4ece14d5eea9d846b599a2870823ddf642e6a6243d713037f36e2bf43588824e4e
Hosted下载
Tokenizer & config
1_SpladePooling/config.json107 bytes—Upstream onlyFile metadata
config.json624 bytes
ee2e1cf7…4a9c5518ee2e1cf7f0b5fa77e1e5223208730e3eab2a3f6afd306b57553beef34a9c5518
Hosted下载
config_sentence_transformers.json279 bytes
1d4c2ff7…f6e047f71d4c2ff70439677e8ce24b6715a975c7dda1b801696708b184f2be52f6e047f7
Hosted下载
modules.json274 bytes
49d17c58…2479e1e349d17c5888db1d0f18dde2855770b5f796240df89ddf56f8589380072479e1e3
Hosted下载
sentence_bert_config.json57 bytes
2713ef71…86bc0c6c2713ef7170fbb7e99cf4c4d8a1685642b0454b35f606b0f3b3b23b2786bc0c6c
Hosted下载
tokenizer.json711.6 KB
851ca671…4d372c3c851ca67100d372ca3ae031a6abd168f53489eebfd7d89523f35c5c9b4d372c3c
Hosted下载
tokenizer_config.json1.27 KB
7b082b48…171186a07b082b48a08a0b5c5939d99472e33addce3d96202155e33f7928cecd171186a0
Hosted下载
vocab.txt231.5 KB—Upstream onlyFile metadata
special_tokens_map.json125 bytes
b6d346be…76237ee3b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
Hosted下载
Docs
.gitattributes1.52 KB—Upstream onlyFile metadata
README.md91.8 KB—Upstream onlyFile metadata

检查下载文件

In the folder where you saved config.json, run:

macOS
shasum -a 256 -- 'config.json'
Linux
sha256sum -- 'config.json'
Windows
Get-FileHash -LiteralPath 'config.json' -Algorithm SHA256

Compare the result with the recorded SHA-256.

类似的托管模型

浏览托管模型