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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.

intfloat

e5-large-v2

intfloat/e5-large-v2
sentence similarity and retrievalLicense: mitHashes recordedsafetensors · ONNX · BIN

Content controls: not assessed.

Model from Hugging Face for sentence similarity: intfloat/e5-large-v2 · sentence transformers

8 hosted of 20 listed

Hashes recorded. Date not recorded.

FileTailleSHA-256SourceTélécharger
Weights
model.safetensors Default1.34 GB
d741c1a6…9ae2911ad741c1a688a6169af0ecb5a047c44645cd992c31e1bf431269f98bba9ae2911a
HostedTélécharger
onnx/model.onnx1.34 GB
f560bbc5…849cbcf8f560bbc5da586764fc6ccf54990bac71f94e5a872ed4e1889039391c849cbcf8
Upstream onlyFile metadata
onnx/model_O4.onnx668.5 MB
4ed58868…c428234d4ed58868e4b3d17c5106dfe83b52de7f4b41fcad401c9ecc37159120c428234d
Upstream onlyFile metadata
onnx/model_qint8_avx512_vnni.onnx337.2 MB
40be69cb…1587a3d740be69cbaec2d84c8ee11a5523e16958251111e1573d6c311f48ed481587a3d7
Upstream onlyFile metadata
openvino/openvino_model.bin1.34 GB
e1c8fee2…bdee1435e1c8fee29a7ecec8fe692ce16d33d1a05fe912a112eaf5c183283ff6bdee1435
Upstream onlyFile metadata
openvino/openvino_model_qint8_quantized.bin336.8 MB
763705b0…66ec9408763705b01203217a9ee09e151153772a4d8c8fc430eb07a8dad8c7d966ec9408
Upstream onlyFile metadata
pytorch_model.bin1.34 GB
7d3fda35…7a4e9c5e7d3fda35853349a026a61027d93bbfd65d7658287a2043f95af3e4397a4e9c5e
Upstream onlyFile metadata
Tokenizer & config
1_Pooling/config.json201 bytes
56c469db…b31d62d156c469dba9e31869bb7dfceb9b3d76ac06549d1ba869509d8eb4e8aeb31d62d1
HostedTélécharger
config.json616 bytes
2394ce5c…dfd7a2692394ce5c9ffac96c88496de5d7a92f5d3fec1015b9d25f9f85545f13dfd7a269
HostedTélécharger
handler.py1.13 KB—Upstream onlyFile metadata
modules.json387 bytes
c6e29747…5f902b04c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04
HostedTélécharger
openvino/openvino_model.xml707.8 KB—Upstream onlyFile metadata
openvino/openvino_model_qint8_quantized.xml1.31 MB—Upstream onlyFile metadata
sentence_bert_config.json57 bytes
948201d8…ee986529948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529
HostedTélécharger
special_tokens_map.json125 bytes
b6d346be…76237ee3b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
HostedTélécharger
tokenizer.json711.4 KB
d241a60d…1f9e5c66d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66
Upstream onlyFile metadata
tokenizer_config.json314 bytes
ae83fa6c…a0ca4544ae83fa6ca0333117ff12606020af925d648667ef70d92ff7f27d781ba0ca4544
HostedTélécharger
vocab.txt231.5 KB
07eced37…992038a307eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3
HostedTélécharger
Docs
.gitattributes1.48 KB
db7c0371…b8fae5a6db7c0371f46f0840b8f25794c1e3321c9b5820a8cb6ba9694a46fc64b8fae5a6
Upstream onlyFile metadata
README.md67.8 KB
478cc58f…9e14d740478cc58fb7c5e4412a6c85f3fd0abb2898a1d7c2bc12db10d14892629e14d740
Upstream onlyFile metadata

Vérifier un téléchargement

In the folder where you saved model.safetensors, run:

macOS
shasum -a 256 -- 'model.safetensors'
Linux
sha256sum -- 'model.safetensors'
Windows
Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.