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random-sequence
/
i448-poc-model

Feature Extraction
Transformers
i448
custom_code
Model card Files Files and versions
xet
Community

Instructions to use random-sequence/i448-poc-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use random-sequence/i448-poc-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="random-sequence/i448-poc-model", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("random-sequence/i448-poc-model", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
i448-poc-model
6.96 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
random-sequence's picture
random-sequence
i448 poc
626dbae verified 3 days ago
  • .gitattributes
    1.52 kB
    initial commit 3 days ago
  • README.md
    42 Bytes
    i448 poc 3 days ago
  • config.json
    566 Bytes
    i448 poc 3 days ago
  • configuration_i448.py
    1.7 kB
    i448 poc 3 days ago
  • modeling_i448.py
    1.51 kB
    i448 poc 3 days ago
  • tokenization_i448.py
    1.51 kB
    i448 poc 3 days ago
  • tokenizer_config.json
    110 Bytes
    i448 poc 3 days ago