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
File size: 241 Bytes
e69807b | 1 2 3 4 5 6 7 8 9 10 | {
"transformer_task": "feature-extraction",
"modality_config": {
"text": {
"method": "forward",
"method_output_name": "last_hidden_state"
}
},
"module_output_name": "token_embeddings"
} |