Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

rossieRuby
/
nyayadrishti-t5-generator

Transformers
TensorBoard
Safetensors
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use rossieRuby/nyayadrishti-t5-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rossieRuby/nyayadrishti-t5-generator with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("rossieRuby/nyayadrishti-t5-generator")
    model = AutoModelForSeq2SeqLM.from_pretrained("rossieRuby/nyayadrishti-t5-generator", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
nyayadrishti-t5-generator / checkpoint-100
2.68 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
rossieRuby's picture
rossieRuby
Updated after fine-tuning on dataset[1000:2000]
37b92fa verified about 1 year ago
  • config.json
    1.47 kB
    Updated after fine-tuning on dataset[1000:2000] about 1 year ago
  • generation_config.json
    142 Bytes
    Updated after fine-tuning on dataset[1000:2000] about 1 year ago
  • model.safetensors
    892 MB
    xet
    Updated after fine-tuning on dataset[1000:2000] about 1 year ago
  • optimizer.pt
    1.78 GB
    xet
    Updated after fine-tuning on dataset[1000:2000] about 1 year ago
  • rng_state.pth
    14 kB
    xet
    Updated after fine-tuning on dataset[1000:2000] about 1 year ago
  • scheduler.pt
    1.06 kB
    xet
    Updated after fine-tuning on dataset[1000:2000] about 1 year ago
  • special_tokens_map.json
    2.54 kB
    Updated after fine-tuning on dataset[1000:2000] about 1 year ago
  • spiece.model
    792 kB
    xet
    Updated after fine-tuning on dataset[1000:2000] about 1 year ago
  • tokenizer.json
    2.42 MB
    Updated after fine-tuning on dataset[1000:2000] about 1 year ago
  • tokenizer_config.json
    20.9 kB
    Updated after fine-tuning on dataset[1000:2000] about 1 year ago
  • trainer_state.json
    2.25 kB
    Updated after fine-tuning on dataset[1000:2000] about 1 year ago
  • training_args.bin
    5.5 kB
    xet
    Updated after fine-tuning on dataset[1000:2000] about 1 year ago