Model2Vec
Safetensors
sentence-transformers
English
embeddings
static-embeddings
tokenlearn
compact
Eval Results (legacy)
8-bit precision
Instructions to use blobbybob/potion-mxbai-256d-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use blobbybob/potion-mxbai-256d-v2 with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("blobbybob/potion-mxbai-256d-v2") embeddings = model.encode(["It's dangerous to go alone!", "It's a secret to everybody."]) print(embeddings.shape) - sentence-transformers
How to use blobbybob/potion-mxbai-256d-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("blobbybob/potion-mxbai-256d-v2") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Upload eval_results/STS17.json with huggingface_hub
Browse files- eval_results/STS17.json +88 -88
eval_results/STS17.json
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