BERT-base-uncased is a large language model released by Google, released under the Apache-2.0 license, with a claimed knowledge cutoff of 2018-10-11. Its weights, configuration, and tokenizer files have been cryptographically hashed and permanently attested on Ethereum (Sepolia) by Weight Registry.
Description
Bidirectional Transformer encoder pretrained via masked-language-modeling on BooksCorpus and Wikipedia; made transfer learning standard practice across NLP.
Metadata
Hugging Face stats
43,907,375 downloads on Hugging Face · 3,375 likes · pipeline: fill-mask · library: transformers
Weight Hashes
SHA-2560x68d45e234eb4a928074dfd868cead0219ab85354cc53d20e772753c6bb9169d3
SHA3-2560x5511e0d86cfc48410f856806c16035c65051cb3334468077947c4da232b4b7ff
BLAKE30x688f0d6b61a2234c2ed3af1aaf10610ac1980c9d5103afd766d85939317c4a69
Verify it yourself
Download the file(s) from the source below, then hash them locally (sha256sum <file> on Linux/macOS, certutil -hashfile <file> SHA256 on Windows) and compare the output against the hash(es) shown above.