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SvyatoslavA
/
model_awara_text

Feature Extraction
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use SvyatoslavA/model_awara_text with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="SvyatoslavA/model_awara_text")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("SvyatoslavA/model_awara_text")
    model = AutoModel.from_pretrained("SvyatoslavA/model_awara_text")
  • Notebooks
  • Google Colab
  • Kaggle
model_awara_text
716 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
SvyatoslavA's picture
SvyatoslavA
add model
0731089 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    886 Bytes
    add model over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    711 MB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer over 4 years ago
  • tokenizer.json
    2.62 MB
    add tokenizer over 4 years ago
  • tokenizer_config.json
    509 Bytes
    add tokenizer over 4 years ago
  • vocab.txt
    1.65 MB
    add tokenizer over 4 years ago