Sentence Similarity
sentence-transformers
Safetensors
t5
feature-extraction
Generated from Trainer
dataset_size:2640
loss:MultipleNegativesRankingLoss
loss:CosineSimilarityLoss
custom_code
Eval Results (legacy)
Instructions to use 1shoomun/pq_cache_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use 1shoomun/pq_cache_3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("1shoomun/pq_cache_3", trust_remote_code=True) sentences = [ "Can you tell me how my portfolio did last week?", "Suggest recommendations for me", "Do you have any insights on my portfolio", "How did my portfolio perform last week ?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2240/optimizer.pt from 1shoomun/pq_cache_3: direct link, hf CLI and curl.
- Browser
- Download file 877 MB
-
https://huggingface.co/1shoomun/pq_cache_3/resolve/main/checkpoint-2240/optimizer.pt
- Command line
-
hf download hf://1shoomun/pq_cache_3/checkpoint-2240/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/1shoomun/pq_cache_3/resolve/main/checkpoint-2240/optimizer.pt
877 MB
- Xet hash:
- 9f39d7c03218febc696c90938f62f98b297a5e2422c777d31bd42a3d83465a68
- Size of remote file:
- 877 MB
- SHA256:
- c315e82c55893ec49d6185a32c1757f33f8d0c822888b5b4b040c38e926b1180
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