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noellzhao
/
MOF_SynthesisDetection

Text Classification
Transformers
Safetensors
English
bert
MOF
metal-organic-framework
material-science
synthesis-classification
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use noellzhao/MOF_SynthesisDetection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="noellzhao/MOF_SynthesisDetection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("noellzhao/MOF_SynthesisDetection")
    model = AutoModelForSequenceClassification.from_pretrained("noellzhao/MOF_SynthesisDetection")
  • Notebooks
  • Google Colab
  • Kaggle
MOF_SynthesisDetection / bert_binary_syn_classifier
438 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
noellzhao's picture
noellzhao
Upload 5 files
5673963 verified 7 months ago
  • config.json
    687 Bytes
    Upload 5 files 7 months ago
  • model.safetensors
    438 MB
    xet
    Upload 5 files 7 months ago
  • special_tokens_map.json
    125 Bytes
    Upload 5 files 7 months ago
  • tokenizer_config.json
    1.27 kB
    Upload 5 files 7 months ago
  • vocab.txt
    232 kB
    Upload 5 files 7 months ago