Sentence Similarity
sentence-transformers
ONNX
English
code
bert
code-search
embeddings
LoRA
E5
cqs
Eval Results
text-embeddings-inference
Instructions to use jamie8johnson/e5-base-v2-code-search with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use jamie8johnson/e5-base-v2-code-search with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jamie8johnson/e5-base-v2-code-search") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Upload config.json with huggingface_hub
Browse files- config.json +6 -1
config.json
CHANGED
|
@@ -1,16 +1,20 @@
|
|
| 1 |
{
|
|
|
|
| 2 |
"architectures": [
|
| 3 |
"BertModel"
|
| 4 |
],
|
| 5 |
"attention_probs_dropout_prob": 0.1,
|
|
|
|
| 6 |
"classifier_dropout": null,
|
| 7 |
"dtype": "float32",
|
|
|
|
| 8 |
"gradient_checkpointing": false,
|
| 9 |
"hidden_act": "gelu",
|
| 10 |
"hidden_dropout_prob": 0.1,
|
| 11 |
"hidden_size": 768,
|
| 12 |
"initializer_range": 0.02,
|
| 13 |
"intermediate_size": 3072,
|
|
|
|
| 14 |
"layer_norm_eps": 1e-12,
|
| 15 |
"max_position_embeddings": 512,
|
| 16 |
"model_type": "bert",
|
|
@@ -18,7 +22,8 @@
|
|
| 18 |
"num_hidden_layers": 12,
|
| 19 |
"pad_token_id": 0,
|
| 20 |
"position_embedding_type": "absolute",
|
| 21 |
-
"
|
|
|
|
| 22 |
"type_vocab_size": 2,
|
| 23 |
"use_cache": true,
|
| 24 |
"vocab_size": 30522
|
|
|
|
| 1 |
{
|
| 2 |
+
"add_cross_attention": false,
|
| 3 |
"architectures": [
|
| 4 |
"BertModel"
|
| 5 |
],
|
| 6 |
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": null,
|
| 8 |
"classifier_dropout": null,
|
| 9 |
"dtype": "float32",
|
| 10 |
+
"eos_token_id": null,
|
| 11 |
"gradient_checkpointing": false,
|
| 12 |
"hidden_act": "gelu",
|
| 13 |
"hidden_dropout_prob": 0.1,
|
| 14 |
"hidden_size": 768,
|
| 15 |
"initializer_range": 0.02,
|
| 16 |
"intermediate_size": 3072,
|
| 17 |
+
"is_decoder": false,
|
| 18 |
"layer_norm_eps": 1e-12,
|
| 19 |
"max_position_embeddings": 512,
|
| 20 |
"model_type": "bert",
|
|
|
|
| 22 |
"num_hidden_layers": 12,
|
| 23 |
"pad_token_id": 0,
|
| 24 |
"position_embedding_type": "absolute",
|
| 25 |
+
"tie_word_embeddings": true,
|
| 26 |
+
"transformers_version": "5.3.0",
|
| 27 |
"type_vocab_size": 2,
|
| 28 |
"use_cache": true,
|
| 29 |
"vocab_size": 30522
|