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

ShynBui
/
vie_qa

Question Answering
Transformers
PyTorch
roberta
Generated from Trainer
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use ShynBui/vie_qa with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "question-answering" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # pip install "transformers<5.0.0"
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="ShynBui/vie_qa")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("ShynBui/vie_qa")
    model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/vie_qa", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

You need to agree to share your Hugging Face information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Gated model
You can list files but not access them

Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • README.md
    3.92 kB
    Update README.md almost 3 years ago
  • added_tokens.json
    22 Bytes
    Training in progress, epoch 1 about 3 years ago
  • bpe.codes
    1.14 MB
    Training in progress, epoch 1 about 3 years ago
  • config.json
    759 Bytes
    Training in progress, epoch 1 about 3 years ago
  • model.safetensors
    1.47 GB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin
    1.47 GB
    xet
    Training in progress, epoch 3 about 3 years ago
  • special_tokens_map.json
    965 Bytes
    Training in progress, epoch 1 about 3 years ago
  • tokenizer_config.json
    1.14 kB
    Training in progress, epoch 1 about 3 years ago
  • training_args.bin
    4.54 kB
    xet
    Training in progress, epoch 1 about 3 years ago
  • vocab.txt
    895 kB
    Training in progress, epoch 1 about 3 years ago