Sentence Similarity
sentence-transformers
Safetensors
Transformers.js
bert
feature-extraction
mteb
arctic
snowflake-arctic-embed
Eval Results (legacy)
text-embeddings-inference
Instructions to use Kaylebor/pf2e-codex-embed-xs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Kaylebor/pf2e-codex-embed-xs with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Kaylebor/pf2e-codex-embed-xs") 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] - Transformers.js
How to use Kaylebor/pf2e-codex-embed-xs with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'Kaylebor/pf2e-codex-embed-xs'); - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67c0fb1209a0ab0c0e17fb00288a7939c1087154aa86fae4a86651e196f1ca14
- Size of remote file:
- 90.3 MB
- SHA256:
- b526353c895720754360502a0781805523cd782202c3631af4a2431d8b2bd03b
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