sentence-transformers How to use Shuu12121/CodeSearch-ModernBERT-Finch-SmallBatch with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Shuu12121/CodeSearch-ModernBERT-Finch-SmallBatch")
sentences = [
"Returns boolean indicating whether the requestUrl matches against the paths configured.\n\n@param requestedUrl - url requested by user\n@param opts - unless configuration\n@returns {boolean}",
"def xmoe2_v1_l4k_global_only():\n \"\"\"\"\"\"\n hparams = xmoe2_v1_l4k()\n hparams.decoder_layers = [\n \"att\" if l == \"local_att\" else l for l in hparams.decoder_layers]\n return hparams",
"function matchesPath(requestedUrl, opts) {\n var paths = !opts.path || Array.isArray(opts.path) ?\n opts.path : [opts.path];\n\n if (paths) {\n return paths.some(function(p) {\n return (typeof p === 'string' && p === requestedUrl.pathname) ||\n (p instanceof RegExp && !! p.exec(requestedUrl.pathname));\n });\n }\n\n return false;\n}",
"public static function factory($accessToken, $currentTeam)\n {\n $client = Client::factory($accessToken);\n\n return new self($client, $currentTeam);\n }"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
