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

emonHasan01
/
liar-roberta

Text Classification
Transformers
ONNX
Safetensors
Transformers.js
English
roberta
fake-news-detection
misinformation
fact-checking
liar
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use emonHasan01/liar-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use emonHasan01/liar-roberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="emonHasan01/liar-roberta")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("emonHasan01/liar-roberta")
    model = AutoModelForSequenceClassification.from_pretrained("emonHasan01/liar-roberta", device_map="auto")
  • Transformers.js

    How to use emonHasan01/liar-roberta with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('text-classification', 'emonHasan01/liar-roberta');
  • Notebooks
  • Google Colab
  • Kaggle
liar-roberta
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
emonHasan01's picture
emonHasan01
update documentation
aee631f verified 4 days ago
  • assets
    uploade banner pic 4 days ago
  • onnx
    Add ONNX weights (fp32 + int8) for in-browser inference 4 days ago
  • .gitattributes
    1.58 kB
    uploade banner pic 4 days ago
  • README.md
    9.41 kB
    update documentation 4 days ago
  • config.json
    795 Bytes
    RoBERTa fine-tuned on LIAR + evaluation, charts, model card 4 days ago
  • model.safetensors
    499 MB
    xet
    RoBERTa fine-tuned on LIAR + evaluation, charts, model card 4 days ago
  • results.json
    6.33 kB
    RoBERTa fine-tuned on LIAR + evaluation, charts, model card 4 days ago
  • tokenizer.json
    3.56 MB
    RoBERTa fine-tuned on LIAR + evaluation, charts, model card 4 days ago
  • tokenizer_config.json
    388 Bytes
    RoBERTa fine-tuned on LIAR + evaluation, charts, model card 4 days ago