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armaniii
/
WIBA-Stance-V1

Text Classification
PEFT
Safetensors
English
stance-detection
stance-classification
argument-mining
computational-social-science
llama
lora
wiba
Model card Files Files and versions
xet
Community

Instructions to use armaniii/WIBA-Stance-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use armaniii/WIBA-Stance-V1 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSequenceClassification
    
    base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-2-7b-hf")
    model = PeftModel.from_pretrained(base_model, "armaniii/WIBA-Stance-V1")
  • Notebooks
  • Google Colab
  • Kaggle
WIBA-Stance-V1
82.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
armaniii's picture
armaniii
Model card v3: step-by-step gated-access walkthrough, separate GPU/CPU quickstarts with hardware requirements, batch processing with tqdm progress bar
51a7711 verified 8 days ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    12.7 kB
    Model card v3: step-by-step gated-access walkthrough, separate GPU/CPU quickstarts with hardware requirements, batch processing with tqdm progress bar 8 days ago
  • adapter_config.json
    664 Bytes
    Update adapter_config.json (modern PEFT format conversion) 8 days ago
  • adapter_model.safetensors
    80.1 MB
    xet
    Convert adapter to modern PEFT format (merged trained score head). Verified logit-equivalent to the PEFT 0.7.1 original on both transformers 5.12/peft 0.19 and transformers 4.38/peft 0.7.1 stacks. Original-format files remain in git history. 8 days ago
  • special_tokens_map.json
    438 Bytes
    Upload complete local adapter: fp32 weights incl. trained score base_layer, tokenizer files, and PEFT model card 8 days ago
  • tokenizer.json
    1.84 MB
    Update tokenizer.json (modern PEFT format conversion) 8 days ago
  • tokenizer.model
    500 kB
    xet
    Upload complete local adapter: fp32 weights incl. trained score base_layer, tokenizer files, and PEFT model card 8 days ago
  • tokenizer_config.json
    963 Bytes
    Upload complete local adapter: fp32 weights incl. trained score base_layer, tokenizer files, and PEFT model card 8 days ago