Sentence Similarity
sentence-transformers
Safetensors
modernbert
feature-extraction
dense
Generated from Trainer
dataset_size:800640
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use Shuu12121/Owl-ph2-len2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Shuu12121/Owl-ph2-len2048 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Shuu12121/Owl-ph2-len2048") 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
- Xet hash:
- 250bda3d155f8a245760ae6d15bd4a9bd194af209ef7037fbc04cbfba3b8b7d4
- Size of remote file:
- 596 MB
- SHA256:
- 5553346cefd5839af179d04b7a9b46e30e795faa2ac835fd757048bea5f7105f
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