hotchpotch
japanese-reranker-base-v2
hotchpotch/japanese-reranker-base-v2text rankingLicense: mitHashes recordedsafetensors · BIN
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Model from Hugging Face for text ranking: hotchpotch/japanese-reranker-base-v2 · sentence transformers
7 hosted of 9 listed
Hashes recorded. Date not recorded.
| File | आकार | SHA-256 | स्रोत | डाउनलोड करें |
|---|---|---|---|---|
| Weights | ||||
model. Default | 529.6 MB |
| Hosted | डाउनलोड करें |
training_ | 5.78 KB |
| Upstream only | File metadata |
| Tokenizer & config | ||||
config. | 1.35 KB |
| Hosted | डाउनलोड करें |
tokenizer. | 6.72 MB |
| Hosted | डाउनलोड करें |
tokenizer. | 1.83 MB |
| Hosted | डाउनलोड करें |
tokenizer_ | 3.78 KB |
| Hosted | डाउनलोड करें |
special_ | 968 bytes |
| Hosted | डाउनलोड करें |
| Docs | ||||
. | 1.52 KB | — | Upstream only | File metadata |
README. | 10.3 KB |
| Hosted | डाउनलोड करें |
डाउनलोड की जाँच करें
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.