Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

NateMyers
/
HF-App-Mod4

Text Classification
Transformers
Safetensors
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use NateMyers/HF-App-Mod4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NateMyers/HF-App-Mod4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="NateMyers/HF-App-Mod4")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("NateMyers/HF-App-Mod4")
    model = AutoModelForSequenceClassification.from_pretrained("NateMyers/HF-App-Mod4")
  • Notebooks
  • Google Colab
  • Kaggle
HF-App-Mod4
Ctrl+K
Ctrl+K
  • 2 contributors
History: 10 commits
NateMyers's picture
NateMyers
Upload RobertaForSequenceClassification
0969b91 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.22 kB
    Update README.md (#2) almost 2 years ago
  • config.json
    688 Bytes
    Upload RobertaForSequenceClassification almost 2 years ago
  • merges.txt
    456 kB
    Upload tokenizer almost 2 years ago
  • model.safetensors
    1.42 GB
    xet
    Upload RobertaForSequenceClassification almost 2 years ago
  • special_tokens_map.json
    958 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    669 kB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.19 kB
    Upload tokenizer almost 2 years ago
  • vocab.json
    999 kB
    Upload tokenizer almost 2 years ago
  • vocab.txt
    213 kB
    Upload tokenizer almost 2 years ago