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setu4993
/
LaBSE

Sentence Similarity
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Safetensors
bert
feature-extraction
sentence_embedding
multilingual
google
text-embeddings-inference
Model card Files Files and versions
xet
Community
4

Instructions to use setu4993/LaBSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use setu4993/LaBSE with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("setu4993/LaBSE")
    model = AutoModel.from_pretrained("setu4993/LaBSE")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
LaBSE
5.67 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 15 commits
supreet-kore's picture
supreet-kore
Update config.json
3537d83 over 3 years ago
  • .gitattributes
    391 Bytes
    allow flax almost 5 years ago
  • README.md
    4.38 kB
    Update model card over 4 years ago
  • config.json
    748 Bytes
    Update config.json over 3 years ago
  • flax_model.msgpack
    1.88 GB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin
    1.88 GB
    xet
    Update model to v2 over 4 years ago
  • special_tokens_map.json
    112 Bytes
    Re-add incorrectly removed models, tokenizer almost 5 years ago
  • tf_model.h5
    1.88 GB
    xet
    Update model to v2 over 4 years ago
  • tokenizer.json
    9.62 MB
    Re-add incorrectly removed models, tokenizer almost 5 years ago
  • tokenizer_config.json
    300 Bytes
    Update model to v2 over 4 years ago
  • vocab.txt
    5.22 MB
    Re-add incorrectly removed models, tokenizer almost 5 years ago