Model2Vec
Safetensors
sentence-transformers
English
embeddings
static-embeddings
mteb
Eval Results (legacy)
Instructions to use minishlab/M2V_base_glove with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use minishlab/M2V_base_glove with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("minishlab/M2V_base_glove") - sentence-transformers
How to use minishlab/M2V_base_glove with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("minishlab/M2V_base_glove") 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 folder using huggingface_hub
Browse files- config.json +1 -0
- embeddings.safetensors +3 -0
- tokenizer.json +0 -0
config.json
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{"tokenizer_name": "word_level", "apply_pca": 256, "apply_zipf": true}
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embeddings.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:154f39f40fd8b35055983cd0ba86798313c92b96987a13c905b70e98280fcc18
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size 409602136
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tokenizer.json
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