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smiled0g
/
preflop

Text Classification
Transformers
Safetensors
llama
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use smiled0g/preflop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use smiled0g/preflop with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="smiled0g/preflop")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("smiled0g/preflop")
    model = AutoModelForSequenceClassification.from_pretrained("smiled0g/preflop", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
preflop
3.22 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
smiled0g's picture
smiled0g
Upload folder using huggingface_hub
d3b9a18 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.06 kB
    End of training almost 2 years ago
  • config.json
    939 Bytes
    Upload folder using huggingface_hub almost 2 years ago
  • model.safetensors
    1.07 GB
    xet
    Upload folder using huggingface_hub almost 2 years ago
  • optimizer.pt
    2.15 GB
    xet
    Upload folder using huggingface_hub almost 2 years ago
  • rng_state.pth
    14.2 kB
    xet
    Upload folder using huggingface_hub almost 2 years ago
  • scheduler.pt
    1.06 kB
    xet
    Upload folder using huggingface_hub almost 2 years ago
  • trainer_state.json
    91.3 kB
    Upload folder using huggingface_hub almost 2 years ago
  • training_args.bin
    5.18 kB
    xet
    Upload folder using huggingface_hub almost 2 years ago