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neoyipeng
/
ModernFinBERT-v2-short

Text Classification
Transformers
Safetensors
English
modernbert
text-generation-inference
unsloth
trl
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use neoyipeng/ModernFinBERT-v2-short with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use neoyipeng/ModernFinBERT-v2-short with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="neoyipeng/ModernFinBERT-v2-short")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("neoyipeng/ModernFinBERT-v2-short")
    model = AutoModelForSequenceClassification.from_pretrained("neoyipeng/ModernFinBERT-v2-short", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
ModernFinBERT-v2-short
303 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
neoyipeng's picture
neoyipeng
Upload model trained with Unsloth
c00a99a verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    547 Bytes
    Upload README.md with huggingface_hub 5 months ago
  • config.json
    1.51 kB
    Upload model trained with Unsloth 5 months ago
  • model.safetensors
    299 MB
    xet
    Upload model trained with Unsloth 5 months ago
  • special_tokens_map.json
    694 Bytes
    Upload model trained with Unsloth 5 months ago
  • tokenizer.json
    3.58 MB
    Upload model trained with Unsloth 5 months ago
  • tokenizer_config.json
    20.9 kB
    Upload model trained with Unsloth 5 months ago