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

SudhaBhattacharjee
/
RewardModel_RobertaBase

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use SudhaBhattacharjee/RewardModel_RobertaBase with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SudhaBhattacharjee/RewardModel_RobertaBase")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SudhaBhattacharjee/RewardModel_RobertaBase")
    model = AutoModelForSequenceClassification.from_pretrained("SudhaBhattacharjee/RewardModel_RobertaBase", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
RewardModel_RobertaBase / runs
8.06 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
SudhaBhattacharjee's picture
SudhaBhattacharjee
SudhaBhattacharjee/Classifier1_RoBERTa_base
5d21fd5 verified about 1 year ago
  • Aug03_18-20-46_abe686b98f15
    SudhaBhattacharjee/Classifier1_RoBERTa_base about 1 year ago