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

enoriega
/
rule_softmatching

Question Answering
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use enoriega/rule_softmatching with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="enoriega/rule_softmatching")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("enoriega/rule_softmatching")
    model = AutoModelForQuestionAnswering.from_pretrained("enoriega/rule_softmatching")
  • Notebooks
  • Google Colab
  • Kaggle
rule_softmatching
436 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
enoriega's picture
enoriega
add tokenizer
edba9f8 almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • config.json
    688 Bytes
    add model almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    436 MB
    xet
    add model almost 4 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer almost 4 years ago
  • tokenizer.json
    466 kB
    add tokenizer almost 4 years ago
  • tokenizer_config.json
    334 Bytes
    add tokenizer almost 4 years ago
  • vocab.txt
    232 kB
    add tokenizer almost 4 years ago