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dongbobo
/
MyAwesomeModel-Release

Feature Extraction
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community

Instructions to use dongbobo/MyAwesomeModel-Release with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dongbobo/MyAwesomeModel-Release with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="dongbobo/MyAwesomeModel-Release")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("dongbobo/MyAwesomeModel-Release")
    model = AutoModel.from_pretrained("dongbobo/MyAwesomeModel-Release", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MyAwesomeModel-Release / evaluation /utils
1.52 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
dongbobo's picture
dongbobo
Release best checkpoint (step_1000) with benchmark scores filled in model card
cc2f451 verified 7 days ago
  • __init__.c
    187 kB
    Release best checkpoint (step_1000) with benchmark scores filled in model card 7 days ago
  • __init__.cpython-313-x86_64-linux-gnu.so
    55.2 kB
    Release best checkpoint (step_1000) with benchmark scores filled in model card 7 days ago
  • benchmark_utils.c
    565 kB
    Release best checkpoint (step_1000) with benchmark scores filled in model card 7 days ago
  • benchmark_utils.cpython-313-x86_64-linux-gnu.so
    714 kB
    xet
    Release best checkpoint (step_1000) with benchmark scores filled in model card 7 days ago