PwC-Embedding_expr safetensors download | Hugging Bay

Q: What is this model?

SamilPwC-AXNode-GenAI/PwC-Embedding_expr is an embedding model for sentence similarity and retrieval published by SamilPwC-AXNode-GenAI, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: SamilPwC-AXNode-GenAI/PwC-Embedding_expr

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 8 listed files; full count and size unknown. The full repository size is not recorded. The recommended download, model.safetensors, is 2.24 GB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/SamilPwC-AXNode-GenAI/PwC-Embedding_expr.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-samilpwc-axnode-genai-pwc-embedding-expr/safety on Hugging Bay.

Q: Will SamilPwC-AXNode-GenAI/PwC-Embedding_expr run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

SamilPwC-AXNode-GenAI

PwC-Embedding_expr

SamilPwC-AXNode-GenAI/PwC-Embedding_expr

sentence similarity and retrievalLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face: SamilPwC-AXNode-GenAI/PwC-Embedding_expr

View as JSON →

8 hosted of 11 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	2.24 GB	`7885c86e…bc7c594d` `7885c86ec3e367d8050844502d36af2db5c4599f4b5a3a771a761177bc7c594d`	Hosted	Download
Tokenizer & config
`1_Pooling/config.json`	313 bytes	`a30548e8…6c412907` `a30548e8bc4255aafe5e5c638f6b15712eebbc8e84ea5988a5835f976c412907`	Upstream only	File metadata
`config.json`	663 bytes	`06a8cd8a…c6370715` `06a8cd8af094a68379b04c3a98e0e3df2a0126c301108c0e5ca9de43c6370715`	Hosted	Download
`config_sentence_transformers.json`	283 bytes	`14011952…a1233587` `1401195230ea8c07f92fb8c117ee7f41d5fd21c6cc8e6188e0a0bf18a1233587`	Hosted	Download
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	Download
`special_tokens_map.json`	964 bytes	`8c785abe…4cf10835` `8c785abebea9ae3257b61681b4e6fd8365ceafde980c21970d001e834cf10835`	Hosted	Download
`tokenizer.json`	17.1 MB	`883b0371…0f137085` `883b037111086fd4dfebbbc9b7cee11e1517b5e0c0514879478661440f137085`	Hosted	Download
`tokenizer_config.json`	1.21 KB	`0fc42f05…203efb0c` `0fc42f057e0907b8a1911f8185a60407208d20497600bc1e319a8651203efb0c`	Hosted	Download
`modules.json`	349 bytes	`84e40c8e…7cf642cf` `84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf`	Hosted	Download
Docs
`README.md`	1.47 KB	`e6e689bf…cbe332ac` `e6e689bfa22e28eeccb52a81d9b13014bb7356cd3cadc3f1a03efeabcbe332ac`	Upstream only	File metadata
`.gitattributes`	0 bytes	—	Upstream only	File metadata

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PwC-Embedding_expr

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