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sujalgawas
/
code-bert-python

Feature Extraction
Transformers
Safetensors
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use sujalgawas/code-bert-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sujalgawas/code-bert-python with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="sujalgawas/code-bert-python")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("sujalgawas/code-bert-python")
    model = AutoModel.from_pretrained("sujalgawas/code-bert-python", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
code-bert-python
504 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
sujalgawas's picture
sujalgawas
Upload tokenizer
fa7091f verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    5.17 kB
    Upload tokenizer about 1 month ago
  • model.pt

    Detected Pickle imports (3)

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

    What is a pickle import?

    500 MB
    xet
    Upload model.pt with huggingface_hub about 1 month ago
  • tokenizer.json
    3.56 MB
    Upload tokenizer about 1 month ago
  • tokenizer_config.json
    359 Bytes
    Upload tokenizer about 1 month ago