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
| { | |
| "__version__": { | |
| "pytorch": "2.12.0+rocm7.2", | |
| "sentence_transformers": "5.5.1", | |
| "transformers": "5.10.2" | |
| }, | |
| "default_prompt_name": null, | |
| "model_type": "SentenceTransformer", | |
| "prompts": { | |
| "document": "", | |
| "query": "Represent this sentence for searching relevant passages: " | |
| }, | |
| "similarity_fn_name": "cosine" | |
| } |