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pcuenq
/
distilbert-base-uncased

Feature Extraction
Transformers
PyTorch
Core ML
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community
20

Instructions to use pcuenq/distilbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pcuenq/distilbert-base-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="pcuenq/distilbert-base-uncased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("pcuenq/distilbert-base-uncased")
    model = AutoModel.from_pretrained("pcuenq/distilbert-base-uncased")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-base-uncased
1.34 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
pcuenq's picture
pcuenq HF Staff
Add Core ML conversion
96eb27d about 3 years ago
  • coreml
    Add Core ML conversion about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    546 Bytes
    Upload model about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    265 MB
    xet
    Upload model about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    315 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    232 kB
    Upload tokenizer about 3 years ago