Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers.js
English
bert
feature-extraction
recommendation
video-games
steam
text-embeddings-inference
Instructions to use GulkoA/gamespace.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use GulkoA/gamespace.1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GulkoA/gamespace.1") 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 GulkoA/gamespace.1 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'GulkoA/gamespace.1'); - Notebooks
- Google Colab
- Kaggle
Download dense.bin from GulkoA/gamespace.1: direct link, hf CLI and curl.
- Browser
- Download file 197 kB
-
https://huggingface.co/GulkoA/gamespace.1/resolve/main/dense.bin
- Command line
-
hf download hf://GulkoA/gamespace.1/dense.bin
-
curl -L -o dense.bin https://huggingface.co/GulkoA/gamespace.1/resolve/main/dense.bin
197 kB
- Xet hash:
- b523a0434ee31d4ccf5a8725fa29afd9abfb506a114511e193ad66f2be92a638
- Size of remote file:
- 197 kB
- SHA256:
- 14c8c3035987e36552adca9f34ccc65336b706981a3610c5fc05ee7189fede85
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