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EphAsad
/
EphBactAID

Feature Extraction
Transformers
Safetensors
English
t5
text2text-generation
biology
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use EphAsad/EphBactAID with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="EphAsad/EphBactAID")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("EphAsad/EphBactAID")
    model = AutoModelForSeq2SeqLM.from_pretrained("EphAsad/EphBactAID")
  • Notebooks
  • Google Colab
  • Kaggle
EphBactAID
994 MB
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  • 1 contributor
History: 5 commits
EphAsad's picture
EphAsad
Update README.md
9da0513 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    3.54 kB
    Update README.md 4 months ago
  • config.json
    1.51 kB
    Upload T5ForConditionalGeneration 4 months ago
  • generation_config.json
    152 Bytes
    Upload T5ForConditionalGeneration 4 months ago
  • model.safetensors
    990 MB
    xet
    Upload T5ForConditionalGeneration 4 months ago
  • special_tokens_map.json
    2.54 kB
    Upload tokenizer 4 months ago
  • spiece.model
    792 kB
    xet
    Upload tokenizer 4 months ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer 4 months ago
  • tokenizer_config.json
    21 kB
    Upload tokenizer 4 months ago