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alimoezzi
/
ReportQL-base

Transformers
PyTorch
Safetensors
English
t5
text2text-generation
medical
dialog
text-generation-inference
Model card Files Files and versions
xet
Community
6

Instructions to use alimoezzi/ReportQL-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use alimoezzi/ReportQL-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("alimoezzi/ReportQL-base")
    model = AutoModelForSeq2SeqLM.from_pretrained("alimoezzi/ReportQL-base")
  • Notebooks
  • Google Colab
  • Kaggle
ReportQL-base
892 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 48 commits
sarme
val-loss=0.18302422761917114
c103608 almost 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • added_tokens.json
    145 Bytes
    add tokenizer almost 4 years ago
  • config.json
    800 Bytes
    val-loss=0.24693065881729126 almost 4 years ago
  • pytorch_model.bin
    892 MB
    xet
    val-loss=0.18302422761917114 almost 4 years ago
  • special_tokens_map.json
    150 Bytes
    add tokenizer almost 4 years ago
  • spiece.model
    792 kB
    xet
    add model over 4 years ago
  • tokenizer_config.json
    1.94 kB
    val-loss=0.8035675287246704 almost 4 years ago