Sentence Similarity
sentence-transformers
Safetensors
modernbert
feature-extraction
dense
Generated from Trainer
dataset_size:58800
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use Shuu12121/CodeSearch-ModernBERT-Finch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Shuu12121/CodeSearch-ModernBERT-Finch with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Shuu12121/CodeSearch-ModernBERT-Finch") 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] - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Shuu12121/CodeSearch-ModernBERT-Finch: direct link, hf CLI and curl.
- Browser
- Download file 1.4 kB
-
https://huggingface.co/Shuu12121/CodeSearch-ModernBERT-Finch/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Shuu12121/CodeSearch-ModernBERT-Finch/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Shuu12121/CodeSearch-ModernBERT-Finch/resolve/main/tokenizer_config.json
1.4 kB
| { | |
| "add_prefix_space": false, | |
| "added_tokens_decoder": { | |
| "30000": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "30001": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "30002": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "30003": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "30004": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "extra_special_tokens": {}, | |
| "mask_token": "<mask>", | |
| "max_length": 256, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "stride": 0, | |
| "tokenizer_class": "RobertaTokenizer", | |
| "trim_offsets": true, | |
| "truncation_side": "right", | |
| "truncation_strategy": "longest_first", | |
| "unk_token": "<unk>" | |
| } | |