Sentence Similarity
sentence-transformers
PyTorch
ONNX
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use p0x0q-dev/bge-m3-sparse-experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use p0x0q-dev/bge-m3-sparse-experimental with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("p0x0q-dev/bge-m3-sparse-experimental") 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
chore: Update config.json and config_sentence_transformers.json
Browse files- config.json +2 -1
- config_sentence_transformers.json +3 -2
config.json
CHANGED
|
@@ -24,5 +24,6 @@
|
|
| 24 |
"transformers_version": "4.33.0",
|
| 25 |
"type_vocab_size": 1,
|
| 26 |
"use_cache": true,
|
| 27 |
-
"vocab_size": 250002
|
|
|
|
| 28 |
}
|
|
|
|
| 24 |
"transformers_version": "4.33.0",
|
| 25 |
"type_vocab_size": 1,
|
| 26 |
"use_cache": true,
|
| 27 |
+
"vocab_size": 250002,
|
| 28 |
+
"sparse_linear_path": "sparse_linear.pt"
|
| 29 |
}
|
config_sentence_transformers.json
CHANGED
|
@@ -3,5 +3,6 @@
|
|
| 3 |
"sentence_transformers": "2.2.2",
|
| 4 |
"transformers": "4.33.0",
|
| 5 |
"pytorch": "2.1.2+cu121"
|
| 6 |
-
}
|
| 7 |
-
|
|
|
|
|
|
| 3 |
"sentence_transformers": "2.2.2",
|
| 4 |
"transformers": "4.33.0",
|
| 5 |
"pytorch": "2.1.2+cu121"
|
| 6 |
+
},
|
| 7 |
+
"sparse_linear_path": "sparse_linear.pt"
|
| 8 |
+
}
|