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cointegrated
/
LaBSE-en-ru

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
Safetensors
Russian
English
bert
pretraining
embeddings
sentence-similarity
Model card Files Files and versions
xet
Community
4

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

  • Libraries
  • Transformers

    How to use cointegrated/LaBSE-en-ru with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="cointegrated/LaBSE-en-ru")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForPreTraining
    
    tokenizer = AutoTokenizer.from_pretrained("cointegrated/LaBSE-en-ru")
    model = AutoModelForPreTraining.from_pretrained("cointegrated/LaBSE-en-ru", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
LaBSE-en-ru
1.72 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 11 commits
cointegrated's picture
cointegrated
sergeyzh's picture
sergeyzh
"max_seq_length": 512 in sentence_bert_config.json (#3)
cf0714e verified over 2 years ago
  • 1_Pooling
    add mininmal sentence_transfomers components almost 3 years ago
  • 2_Dense
    add mininmal sentence_transfomers components almost 3 years ago
  • .gitattributes
    744 Bytes
    Adding `safetensors` variant of this model (#2) over 3 years ago
  • README.md
    1.71 kB
    Update README.md over 3 years ago
  • config.json
    806 Bytes
    the first commit about 5 years ago
  • model.safetensors
    516 MB
    xet
    Adding `safetensors` variant of this model (#2) over 3 years ago
  • modules.json
    461 Bytes
    add mininmal sentence_transfomers components almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    516 MB
    xet
    the first commit about 5 years ago
  • sentence_bert_config.json
    53 Bytes
    "max_seq_length": 512 in sentence_bert_config.json (#3) over 2 years ago
  • special_tokens_map.json
    112 Bytes
    the first commit about 5 years ago
  • tf_model.h5
    687 MB
    xet
    Add TF weights (#1) about 4 years ago
  • tokenizer_config.json
    49 Bytes
    the first commit about 5 years ago
  • vocab.txt
    521 kB
    the first commit about 5 years ago