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mboth
/
sentence-eng

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use mboth/sentence-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mboth/sentence-eng with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="mboth/sentence-eng")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("mboth/sentence-eng")
    model = AutoModel.from_pretrained("mboth/sentence-eng")
  • Notebooks
  • Google Colab
  • Kaggle
sentence-eng
532 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
mboth
add model
ade70ed almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • config.json
    582 Bytes
    add model almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    265 MB
    xet
    add model almost 5 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer almost 5 years ago
  • tf_model.h5
    266 MB
    xet
    add model almost 5 years ago
  • tokenizer.json
    466 kB
    add tokenizer almost 5 years ago
  • tokenizer_config.json
    446 Bytes
    add tokenizer almost 5 years ago
  • vocab.txt
    232 kB
    add tokenizer almost 5 years ago