Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:50
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use akshitguptafintek24/exxon-semantic-search with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use akshitguptafintek24/exxon-semantic-search with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("akshitguptafintek24/exxon-semantic-search") sentences = [ "Freepoint Commodity services venture", "DUPLI OF 823707 BITUBULK SRL VESSEL", "Freepoint Commodities LLC", "AUGUSTA ENERGY DMCC" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download config_sentence_transformers.json from akshitguptafintek24/exxon-semantic-search: direct link, hf CLI and curl.
- Browser
- Download file 208 Bytes
-
https://huggingface.co/akshitguptafintek24/exxon-semantic-search/resolve/7379c1a5bcf0e1c3e94ae23bf4cdaddf937902cc/config_sentence_transformers.json
- Command line
-
hf download hf://akshitguptafintek24/exxon-semantic-search@7379c1a5bcf0e1c3e94ae23bf4cdaddf937902cc/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/akshitguptafintek24/exxon-semantic-search/resolve/7379c1a5bcf0e1c3e94ae23bf4cdaddf937902cc/config_sentence_transformers.json
208 Bytes
| { | |
| "__version__": { | |
| "sentence_transformers": "3.0.1", | |
| "transformers": "4.44.2", | |
| "pytorch": "2.4.0+cpu" | |
| }, | |
| "prompts": {}, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": null | |
| } |