Sentence Similarity
sentence-transformers
Safetensors
t5
feature-extraction
Generated from Trainer
dataset_size:11442
loss:MultipleNegativesRankingLoss
loss:CosineSimilarityLoss
loss:ContrastiveLoss
custom_code
Eval Results (legacy)
Instructions to use 1shoomun/pq_cache_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use 1shoomun/pq_cache_9 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("1shoomun/pq_cache_9", trust_remote_code=True) sentences = [ "What are the underperforming funds in my portfolio?", "Switch my stock portfolio with mutual funds", "List me cheapest funds", "Which of my funds aren't doing well?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from 1shoomun/pq_cache_9: direct link, hf CLI and curl.
- Browser
- Download file 439 MB
-
https://huggingface.co/1shoomun/pq_cache_9/resolve/main/model.safetensors
- Command line
-
hf download hf://1shoomun/pq_cache_9/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/1shoomun/pq_cache_9/resolve/main/model.safetensors
439 MB
- Xet hash:
- c168ccddb08f949ff2d195ee80cb33d31a2d1d66f0f78eebc17f13c9483f6d8c
- Size of remote file:
- 439 MB
- SHA256:
- 6f9d0d32bf7ef3dd2436da24c583b88d1873f87c844722fb32fd02c37024fac6
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