Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

M-CLIP
/
M-BERT-Distil-40

Feature Extraction
Transformers
PyTorch
distilbert
Model card Files Files and versions
xet
Community
2

Instructions to use M-CLIP/M-BERT-Distil-40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use M-CLIP/M-BERT-Distil-40 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="M-CLIP/M-BERT-Distil-40")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("M-CLIP/M-BERT-Distil-40")
    model = AutoModel.from_pretrained("M-CLIP/M-BERT-Distil-40")
  • Notebooks
  • Google Colab
  • Kaggle
M-BERT-Distil-40
540 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 8 commits
FreddeFrallan's picture
FreddeFrallan
lbourdois's picture
lbourdois
Update README.md (#1)
e138c57 over 3 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    2.87 kB
    Update README.md (#1) over 3 years ago
  • config.json
    514 Bytes
    Updated Model To More Recent Version about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    539 MB
    xet
    Updated Model To More Recent Version about 5 years ago
  • special_tokens_map.json
    112 Bytes
    Main Commit about 5 years ago
  • tokenizer_config.json
    270 Bytes
    Main Commit about 5 years ago
  • vocab.txt
    996 kB
    Main Commit about 5 years ago