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dusersad12
/
NexusLM-Public-Release

Feature Extraction
Transformers
PyTorch
gpt2
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use dusersad12/NexusLM-Public-Release with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="dusersad12/NexusLM-Public-Release")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("dusersad12/NexusLM-Public-Release")
    model = AutoModel.from_pretrained("dusersad12/NexusLM-Public-Release", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
NexusLM-Public-Release
10.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
dusersad12's picture
dusersad12
Add fig3.png referenced by README
e3c0e68 verified about 1 month ago
  • figures
    Add fig3.png referenced by README about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    7.42 kB
    Add README.md with per-benchmark evaluation results about 1 month ago
  • config.json
    66 Bytes
    Upload config.json from best checkpoint step_3500 about 1 month ago
  • pytorch_model.bin
    60 Bytes
    xet
    Upload pytorch_model.bin from best checkpoint step_3500 about 1 month ago