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szd0709
/
MultiAgent4SyntheticBioNLP-models

Question Answering
Transformers
Safetensors
biology
medical
biomedical
natural-language-processing
relation-extraction
named-entity-recognition
synthetic-biology
synthetic-data
low-resource
biomedbert
Model card Files Files and versions
xet
Community

Instructions to use szd0709/MultiAgent4SyntheticBioNLP-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use szd0709/MultiAgent4SyntheticBioNLP-models with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="szd0709/MultiAgent4SyntheticBioNLP-models")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("szd0709/MultiAgent4SyntheticBioNLP-models", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MultiAgent4SyntheticBioNLP-models
118 GB
Ctrl+K
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  • 1 contributor
History: 381 commits
szd0709's picture
szd0709
Upload missing model overall-results/pubmedqa/pubmedqa_biomedbert_raw_synthetic_full_old
32c0e80 verified about 12 hours ago
  • overall-results
    Upload missing model overall-results/pubmedqa/pubmedqa_biomedbert_raw_synthetic_full_old about 12 hours ago
  • synthetic-data-scaling
    Upload synthetic-data-scaling/phosphorylation/phosphorylation_biomedbert_raw_75p_seed42_synthetic_ratio_80p 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 24 days ago
  • README.md
    1.56 kB
    Update experiment model index 23 days ago