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fse
/
word2vec-google-news-300-raw-float16

Feature Extraction
fse
Safetensors
English
static-embeddings
sentence-embeddings
gensim
word2vec
word-embeddings
Model card Files Files and versions
xet
Community

Instructions to use fse/word2vec-google-news-300-raw-float16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • fse

    How to use fse/word2vec-google-news-300-raw-float16 with fse:

    pip install "fse>=2.0"
    from fse import Encoder
    
    encoder = Encoder.from_pretrained("fse/word2vec-google-news-300-raw-float16")
    vectors = encoder.encode(["A sentence.", "Another sentence."])
  • Notebooks
  • Google Colab
  • Kaggle
word2vec-google-news-300-raw-float16
1.87 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
theroot's picture
theroot
Clarify normalization and folded linear head loading
d3f44ea verified 13 days ago
  • .gitattributes
    50 Bytes
    Publish prepared classic static embeddings 14 days ago
  • README.md
    3.59 kB
    Clarify normalization and folded linear head loading 13 days ago
  • config.json
    199 Bytes
    Publish prepared classic static embeddings 14 days ago
  • model.safetensors
    1.87 GB
    xet
    Publish prepared classic static embeddings 14 days ago