Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Shuu12121
/
CodeSearch-ModernBERT-Crow-v3-large-len1024-Plus

Sentence Similarity
sentence-transformers
Safetensors
modernbert
feature-extraction
dense
Generated from Trainer
dataset_size:8003584
loss:CachedMultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Shuu12121/CodeSearch-ModernBERT-Crow-v3-large-len1024-Plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Shuu12121/CodeSearch-ModernBERT-Crow-v3-large-len1024-Plus with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Shuu12121/CodeSearch-ModernBERT-Crow-v3-large-len1024-Plus")
    
    sentences = [
        "WithUUID adds the uuid to the snapshot policy collection get params",
        "func (o *SnapshotPolicyCollectionGetParams) WithUUID(uuid *string) *SnapshotPolicyCollectionGetParams {\n\to.SetUUID(uuid)\n\treturn o\n}",
        "func (c *SageMaker) DescribeHumanTaskUi(input *DescribeHumanTaskUiInput) (*DescribeHumanTaskUiOutput, error) {\n\treq, out := c.DescribeHumanTaskUiRequest(input)\n\treturn out, req.Send()\n}",
        "func (_mock *Client) GetImportRequest(context1 context.Context, getImportRequestArgs git.GetImportRequestArgs) (*git.GitImportRequest, error) {\n\tret := _mock.Called(context1, getImportRequestArgs)\n\n\tif len(ret) == 0 {\n\t\tpanic(\"no return value specified for GetImportRequest\")\n\t}\n\n\tvar r0 *git.GitImportRequest\n\tvar r1 error\n\tif returnFunc, ok := ret.Get(0).(func(context.Context, git.GetImportRequestArgs) (*git.GitImportRequest, error)); ok {\n\t\treturn returnFunc(context1, getImportRequestArgs)\n\t}\n\tif returnFunc, ok := ret.Get(0).(func(context.Context, git.GetImportRequestArgs) *git.GitImportRequest); ok {\n\t\tr0 = returnFunc(context1, getImportRequestArgs)\n\t} else {\n\t\tif ret.Get(0) != nil {\n\t\t\tr0 = ret.Get(0).(*git.GitImportRequest)\n\t\t}\n\t}\n\tif returnFunc, ok := ret.Get(1).(func(context.Context, git.GetImportRequestArgs) error); ok {\n\t\tr1 = returnFunc(context1, getImportRequestArgs)\n\t} else {\n\t\tr1 = ret.Error(1)\n\t}\n\treturn r0, r1\n}"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
CodeSearch-ModernBERT-Crow-v3-large-len1024-Plus
1.21 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Shuu12121's picture
Shuu12121
Upload SentenceTransformer model
c669542 verified 3 months ago
  • 1_Pooling
    Upload SentenceTransformer model 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    31 kB
    Upload SentenceTransformer model 3 months ago
  • config.json
    1.26 kB
    Upload SentenceTransformer model 3 months ago
  • config_sentence_transformers.json
    283 Bytes
    Upload SentenceTransformer model 3 months ago
  • model.safetensors
    1.2 GB
    xet
    Upload SentenceTransformer model 3 months ago
  • modules.json
    229 Bytes
    Upload SentenceTransformer model 3 months ago
  • sentence_bert_config.json
    58 Bytes
    Upload SentenceTransformer model 3 months ago
  • special_tokens_map.json
    7.52 kB
    Upload SentenceTransformer model 3 months ago
  • tokenizer.json
    3.7 MB
    Upload SentenceTransformer model 3 months ago
  • tokenizer_config.json
    71.4 kB
    Upload SentenceTransformer model 3 months ago