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pythontech9
/
banking-chatbot

Transformers
Safetensors
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use pythontech9/banking-chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pythontech9/banking-chatbot with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("pythontech9/banking-chatbot")
    model = AutoModelForSeq2SeqLM.from_pretrained("pythontech9/banking-chatbot")
  • Notebooks
  • Google Colab
  • Kaggle
banking-chatbot
245 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
pythontech9's picture
pythontech9
Upload T5ForConditionalGeneration
bcdd13f verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload T5ForConditionalGeneration over 1 year ago
  • config.json
    1.56 kB
    Training in progress, step 3 over 1 year ago
  • generation_config.json
    149 Bytes
    Upload T5ForConditionalGeneration over 1 year ago
  • model.safetensors
    242 MB
    xet
    Training in progress, step 3 over 1 year ago
  • special_tokens_map.json
    2.67 kB
    Training in progress, step 3 over 1 year ago
  • spiece.model
    792 kB
    xet
    Training in progress, step 3 over 1 year ago
  • tokenizer.json
    2.42 MB
    Training in progress, step 3 over 1 year ago
  • tokenizer_config.json
    21.7 kB
    Training in progress, step 3 over 1 year ago
  • training_args.bin
    5.3 kB
    xet
    Training in progress, step 3 over 1 year ago