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dusersad12
/
BestLLM-EvalRepo

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

Instructions to use dusersad12/BestLLM-EvalRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dusersad12/BestLLM-EvalRepo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="dusersad12/BestLLM-EvalRepo")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("dusersad12/BestLLM-EvalRepo")
    model = AutoModel.from_pretrained("dusersad12/BestLLM-EvalRepo", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BestLLM-EvalRepo
9.05 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
dusersad12's picture
dusersad12
Fill in benchmark scores for step_800
beca500 verified about 21 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 21 hours ago
  • README.md
    7.45 kB
    Fill in benchmark scores for step_800 about 21 hours ago
  • config.json
    55 Bytes
    Upload best checkpoint (step_800, overall eval score 0.685) about 21 hours ago
  • pytorch_model.bin
    28 Bytes
    xet
    Upload best checkpoint (step_800, overall eval score 0.685) about 21 hours ago