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AliGhiasvand86
/
gisha_qa

Transformers
PyTorch
Persian
pegasus
text2text-generation
Artificial Intelligence
Natural Language Processing
Large Language Models
Question Answering
Fine-tuning
Model card Files Files and versions
xet
Community
2

Instructions to use AliGhiasvand86/gisha_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AliGhiasvand86/gisha_qa with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("AliGhiasvand86/gisha_qa")
    model = AutoModelForSeq2SeqLM.from_pretrained("AliGhiasvand86/gisha_qa", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
gisha_qa
1.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
AliGhiasvand86's picture
AliGhiasvand86
Update README.md
c2e7a8b about 3 years ago
  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • README.md
    255 Bytes
    Update README.md about 3 years ago
  • config.json
    1.27 kB
    Upload PegasusForConditionalGeneration about 3 years ago
  • generation_config.json
    255 Bytes
    Upload PegasusForConditionalGeneration about 3 years ago
  • pytorch_model.bin
    1.09 GB
    xet
    Upload PegasusForConditionalGeneration about 3 years ago
  • special_tokens_map.json
    1.77 kB
    Upload tokenizer about 3 years ago
  • spiece.model
    2.24 MB
    xet
    Upload tokenizer about 3 years ago
  • tokenizer.json
    6.93 MB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    1.98 kB
    Upload tokenizer about 3 years ago