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kotsonor
/
BiomedBERT-Amyloid

Text Classification
Transformers
Safetensors
English
bert
biomedicine
classification
amyloids
antibodies
pubmed
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use kotsonor/BiomedBERT-Amyloid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kotsonor/BiomedBERT-Amyloid with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="kotsonor/BiomedBERT-Amyloid")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("kotsonor/BiomedBERT-Amyloid")
    model = AutoModelForSequenceClassification.from_pretrained("kotsonor/BiomedBERT-Amyloid", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BiomedBERT-Amyloid
434 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
kotsonor's picture
kotsonor
Update README.md
f6e644c verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    2.83 kB
    Update README.md 10 months ago
  • added_tokens.json
    71 Bytes
    Upload tokenizer 10 months ago
  • config.json
    646 Bytes
    Upload BertForSequenceClassification 10 months ago
  • model.safetensors
    433 MB
    xet
    Upload BertForSequenceClassification 10 months ago
  • special_tokens_map.json
    785 Bytes
    Upload tokenizer 10 months ago
  • tokenizer.json
    680 kB
    Upload tokenizer 10 months ago
  • tokenizer_config.json
    2.1 kB
    Upload tokenizer 10 months ago
  • vocab.txt
    225 kB
    Upload tokenizer 10 months ago