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
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

lytang
/
MiniCheck-Flan-T5-Large

Text Classification
Transformers
PyTorch
English
t5
text2text-generation
Model card Files Files and versions
xet
Community
2

Instructions to use lytang/MiniCheck-Flan-T5-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lytang/MiniCheck-Flan-T5-Large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="lytang/MiniCheck-Flan-T5-Large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("lytang/MiniCheck-Flan-T5-Large")
    model = AutoModelForSeq2SeqLM.from_pretrained("lytang/MiniCheck-Flan-T5-Large")
  • Notebooks
  • Google Colab
  • Kaggle
MiniCheck-Flan-T5-Large
3.14 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 57 commits
lytang's picture
lytang
Upload performance.png
96eafd0 verified over 1 year ago
  • minicheck_web
    handle small chunk size almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    4.83 kB
    Update README.md over 1 year ago
  • added_tokens.json
    2.63 kB
    Upload tokenizer about 2 years ago
  • config.json
    826 Bytes
    Update config.json about 2 years ago
  • cost-vs-bacc.png
    421 kB
    Upload cost-vs-bacc.png about 2 years ago
  • generation_config.json
    112 Bytes
    Upload T5ForConditionalGeneration about 2 years ago
  • handler.py
    8.38 kB
    customize chunk_size in score function almost 2 years ago
  • performance.png
    522 kB
    Upload performance.png over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    3.13 GB
    xet
    Upload T5ForConditionalGeneration about 2 years ago
  • requirements.txt
    109 Bytes
    add spacy almost 2 years ago
  • special_tokens_map.json
    2.24 kB
    Upload tokenizer about 2 years ago
  • spiece.model
    792 kB
    xet
    Upload tokenizer about 2 years ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    20.9 kB
    Upload tokenizer about 2 years ago
  • web_retrieval.py
    6.11 kB
    update retrieval and doc display ranking almost 2 years ago