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.

intfloat

e5-small

intfloat/e5-small
sentence similarity and retrievalLicense: mitHashes recordedONNX · safetensors · BIN

Content controls: not assessed.

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

12 hosted of 13 listed

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
model.safetensors Default133.5 MB
0e4a057e…075e20310e4a057e563dbc864f4b185928e7a925975bead9893c7a22c84fd224075e2031
Hosted下载
model.onnx133.1 MB
96ec5952…9dfcda0c96ec59525cd3b8ede24f5517c89188354c46f347d60fb9566b0dd4ea9dfcda0c
Hosted下载
pytorch_model.bin133.5 MB
9472cafc…11ea8e339472cafc9901ac8c8f8d75f492398797020111dd5c8c4af142ab4bf211ea8e33
Hosted下载
Tokenizer & config
1_Pooling/config.json200 bytes
987f7a67…aebb12a0987f7a67a38fa564c849bb5d277c52ab9088a84368fc0be31a354125aebb12a0
Hosted下载
config.json641 bytes
f656aaad…7556c41df656aaad4f744684502111ee8b37de67f9a58fdf947dfca698a9ab557556c41d
Hosted下载
modules.json387 bytes
c6e29747…5f902b04c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04
Hosted下载
sentence_bert_config.json57 bytes
948201d8…ee986529948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529
Hosted下载
special_tokens_map.json112 bytes
303df45a…5ec200e3303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3
Hosted下载
tokenizer.json466.1 KB
5fd1c882…d9de550b5fd1c882abbd30517dced455a2c9768945ec726b96727927e4959348d9de550b
Hosted下载
tokenizer_config.json362 bytes
f0203972…a11e75aef02039728f958aa8076c3e19b4881232579e4676242f6b9182b0d60ea11e75ae
Hosted下载
vocab.txt231.5 KB
07eced37…992038a307eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3
Hosted下载
Docs
.gitattributes1.48 KB
db7c0371…b8fae5a6db7c0371f46f0840b8f25794c1e3321c9b5820a8cb6ba9694a46fc64b8fae5a6
Upstream onlyFile metadata
README.md68 KB
bfd69043…c9896ed6bfd69043c612228e9a4403b2a76d2ac7e4607101f9c4a1e07cd2e50fc9896ed6
Hosted下载

检查下载文件

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.