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

Trong-Nghia
/
roberta-base-Dep

Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Trong-Nghia/roberta-base-Dep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Trong-Nghia/roberta-base-Dep with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Trong-Nghia/roberta-base-Dep")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Trong-Nghia/roberta-base-Dep")
    model = AutoModelForSequenceClassification.from_pretrained("Trong-Nghia/roberta-base-Dep")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-Dep
502 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
Trong-Nghia's picture
Trong-Nghia
Training in progress, step 1000
e15e400 almost 3 years ago
  • runs
    Training in progress, step 1000 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 almost 3 years ago
  • README.md
    1.64 kB
    End of training almost 3 years ago
  • config.json
    735 Bytes
    Training in progress, step 500 almost 3 years ago
  • merges.txt
    456 kB
    Training in progress, step 500 almost 3 years ago
  • pytorch_model.bin
    499 MB
    xet
    Training in progress, step 1000 almost 3 years ago
  • special_tokens_map.json
    280 Bytes
    Training in progress, step 500 almost 3 years ago
  • tokenizer.json
    2.11 MB
    Training in progress, step 500 almost 3 years ago
  • tokenizer_config.json
    351 Bytes
    Training in progress, step 500 almost 3 years ago
  • training_args.bin
    4.03 kB
    xet
    Training in progress, step 500 almost 3 years ago
  • vocab.json
    798 kB
    Training in progress, step 500 almost 3 years ago