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Not-Humanity-Exam
/
Imprint

Text Classification
Transformers
Safetensors
PyTorch
English
Spanish
t5
text2text-generation
cognitive-patterns
evaluation
benchmark
axolotl
NHE
imprint-theory
human-cognition
fine-tuned
Model card Files Files and versions
xet
Community

Instructions to use Not-Humanity-Exam/Imprint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Not-Humanity-Exam/Imprint with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Not-Humanity-Exam/Imprint")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Not-Humanity-Exam/Imprint")
    model = AutoModelForMultimodalLM.from_pretrained("Not-Humanity-Exam/Imprint")
  • Notebooks
  • Google Colab
  • Kaggle
Imprint
6.71 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
OpceanAI's picture
OpceanAI
Update README.md
c7cc9e5 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    434 Bytes
    Update README.md 2 months ago
  • config.json
    1.57 kB
    Upload T5ForConditionalGeneration 3 months ago
  • generation_config.json
    141 Bytes
    Upload T5ForConditionalGeneration 3 months ago
  • model.safetensors
    6.71 GB
    xet
    Upload T5ForConditionalGeneration 3 months ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer 3 months ago
  • tokenizer_config.json
    2.35 kB
    Upload tokenizer 3 months ago