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futuredatascience
/
strat_call_followup_prod

Text Classification
Transformers
PyTorch
English
deberta-v2
Trained with AutoTrain
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use futuredatascience/strat_call_followup_prod with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="futuredatascience/strat_call_followup_prod")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("futuredatascience/strat_call_followup_prod")
    model = AutoModelForSequenceClassification.from_pretrained("futuredatascience/strat_call_followup_prod")
  • Notebooks
  • Google Colab
  • Kaggle
strat_call_followup_prod
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History: 2 commits
system's picture
system HF Staff
Commit From AutoTrain
475a7a5 almost 3 years ago
  • .gitattributes
    1.62 kB
    Commit From AutoTrain almost 3 years ago
  • README.md
    1.22 kB
    Commit From AutoTrain almost 3 years ago
  • added_tokens.json
    23 Bytes
    Commit From AutoTrain almost 3 years ago
  • config.json
    1.03 kB
    Commit From AutoTrain almost 3 years ago
  • pytorch_model.bin
    738 MB
    xet
    Commit From AutoTrain almost 3 years ago
  • special_tokens_map.json
    173 Bytes
    Commit From AutoTrain almost 3 years ago
  • spm.model
    2.46 MB
    xet
    Commit From AutoTrain almost 3 years ago
  • tokenizer.json
    8.66 MB
    xet
    Commit From AutoTrain almost 3 years ago
  • tokenizer_config.json
    412 Bytes
    Commit From AutoTrain almost 3 years ago