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beingamanforever
/
ICM

Text Classification
Transformers
Safetensors
English
bert
nlp
routing
vision-task-classifier
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use beingamanforever/ICM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use beingamanforever/ICM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="beingamanforever/ICM")
    # Load model directly
    from transformers import AutoTokenizer, TaskClassifier
    
    tokenizer = AutoTokenizer.from_pretrained("beingamanforever/ICM")
    model = TaskClassifier.from_pretrained("beingamanforever/ICM")
  • Notebooks
  • Google Colab
  • Kaggle
ICM
3.08 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
Aman | अमन
Add dataset JSON files
a286609 5 months ago
  • checkpoint-180
    Upload folder using huggingface_hub 5 months ago
  • checkpoint-225
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  • data
    Add dataset JSON files 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    2.73 kB
    Update README.md 5 months ago
  • config.json
    813 Bytes
    Upload folder using huggingface_hub 5 months ago
  • model.safetensors
    439 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    711 kB
    Upload folder using huggingface_hub 5 months ago
  • tokenizer_config.json
    1.22 kB
    Upload folder using huggingface_hub 5 months ago
  • training_args.bin
    5.84 kB
    xet
    Upload folder using huggingface_hub 5 months ago
  • vocab.txt
    232 kB
    Upload folder using huggingface_hub 5 months ago