Sentence Similarity
sentence-transformers
Safetensors
English
roberta
feature-extraction
dense
Generated from Trainer
dataset_size:180
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use anaghaj111/codebert-base-code-embed-mrl-langchain-langgraph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use anaghaj111/codebert-base-code-embed-mrl-langchain-langgraph with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("anaghaj111/codebert-base-code-embed-mrl-langchain-langgraph") sentences = [ "Explain the __init__ logic", "async def test_handler_with_async_execution() -> None:\n \"\"\"Test handler works correctly with async tool execution.\"\"\"\n\n @tool\n def async_add(a: int, b: int) -> int:\n \"\"\"Async add two numbers.\"\"\"\n return a + b\n\n def modifying_handler(\n request: ToolCallRequest,\n execute: Callable[[ToolCallRequest], ToolMessage | Command],\n ) -> ToolMessage | Command:\n \"\"\"Handler that modifies arguments.\"\"\"\n # Add 10 to both arguments using override method\n modified_call = {\n **request.tool_call,\n \"args\": {\n **request.tool_call[\"args\"],\n \"a\": request.tool_call[\"args\"][\"a\"] + 10,\n \"b\": request.tool_call[\"args\"][\"b\"] + 10,\n },\n }\n modified_request = request.override(tool_call=modified_call)\n return execute(modified_request)\n\n tool_node = ToolNode([async_add], wrap_tool_call=modifying_handler)\n\n result = await tool_node.ainvoke(\n {\n \"messages\": [\n AIMessage(\n \"adding\",\n tool_calls=[\n {\n \"name\": \"async_add\",\n \"args\": {\"a\": 1, \"b\": 2},\n \"id\": \"call_13\",\n }\n ],\n )\n ]\n },\n config=_create_config_with_runtime(),\n )\n\n tool_message = result[\"messages\"][-1]\n assert isinstance(tool_message, ToolMessage)\n # Original: 1 + 2 = 3, with modifications: 11 + 12 = 23\n assert tool_message.content == \"23\"", "def __init__(self) -> None:\n self.loads: set[str] = set()\n self.stores: set[str] = set()", "class InternalServerError(APIStatusError):\n pass" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Add new SentenceTransformer model
Browse files- README.md +0 -0
- config.json +1 -4
- config_sentence_transformers.json +3 -3
- merges.txt +0 -0
- model.safetensors +2 -2
- special_tokens_map.json +51 -0
- tokenizer_config.json +50 -3
- vocab.json +0 -0
README.md
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config.json
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{
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"add_cross_attention": false,
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"architectures": [
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"RobertaModel"
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_decoder": false,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"
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"transformers_version": "5.0.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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{
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"architectures": [
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"RobertaModel"
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],
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.57.3",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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config_sentence_transformers.json
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{
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"model_type": "SentenceTransformer",
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"__version__": {
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"sentence_transformers": "5.2.
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"transformers": "
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"pytorch": "2.
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"prompts": {
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"query": "",
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{
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"model_type": "SentenceTransformer",
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"__version__": {
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"sentence_transformers": "5.2.2",
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"transformers": "4.57.3",
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"pytorch": "2.9.1"
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"prompts": {
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"query": "",
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 498604904
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special_tokens_map.json
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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"cls_token": {
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"normalized": true,
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"single_word": false
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"eos_token": {
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer_config.json
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{
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"50264": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"extra_special_tokens": {},
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"mask_token": "<mask>",
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"max_length": 512,
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"model_max_length": 512,
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"pad_to_multiple_of": null,
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"pad_token": "<pad>",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"sep_token": "</s>",
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"stride": 0,
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "<unk>"
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}
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vocab.json
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