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mgfrantz
/
deberta_v3_finetuned_predicting_effective_arguments

Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use mgfrantz/deberta_v3_finetuned_predicting_effective_arguments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mgfrantz/deberta_v3_finetuned_predicting_effective_arguments with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mgfrantz/deberta_v3_finetuned_predicting_effective_arguments")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mgfrantz/deberta_v3_finetuned_predicting_effective_arguments")
    model = AutoModelForSequenceClassification.from_pretrained("mgfrantz/deberta_v3_finetuned_predicting_effective_arguments", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
deberta_v3_finetuned_predicting_effective_arguments
5.94 GB
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  • 2 contributors
History: 6 commits
mgfrantz's picture
mgfrantz
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
954bf08 about 3 years ago
  • checkpoint-10000
    commit files to HF hub about 4 years ago
  • checkpoint-2000
    commit files to HF hub about 4 years ago
  • runs
    commit files to HF hub about 4 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • .gitignore
    12 Bytes
    commit files to HF hub about 4 years ago
  • added_tokens.json
    23 Bytes
    commit files to HF hub over 4 years ago
  • config.json
    1.03 kB
    commit files to HF hub about 4 years ago
  • model.safetensors
    738 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    738 MB
    xet
    commit files to HF hub about 4 years ago
  • special_tokens_map.json
    173 Bytes
    commit files to HF hub over 4 years ago
  • spm.model
    2.46 MB
    xet
    commit files to HF hub over 4 years ago
  • tokenizer.json
    8.66 MB
    commit files to HF hub over 4 years ago
  • tokenizer_config.json
    440 Bytes
    commit files to HF hub over 4 years ago
  • training_args.bin
    3.38 kB
    xet
    commit files to HF hub about 4 years ago