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

jdleo1
/
tinysafe-2

Text Classification
Transformers
ONNX
English
safety
toxicity
content-moderation
deberta
guard-model
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use jdleo1/tinysafe-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jdleo1/tinysafe-2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jdleo1/tinysafe-2")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("jdleo1/tinysafe-2", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tinysafe-2 / tokenizer
2.47 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
jdleo1's picture
jdleo1
Upload folder using huggingface_hub
ddb2570 verified 2 months ago
  • added_tokens.json
    23 Bytes
    Upload folder using huggingface_hub 2 months ago
  • special_tokens_map.json
    286 Bytes
    Upload folder using huggingface_hub 2 months ago
  • spm.model
    2.46 MB
    xet
    Upload folder using huggingface_hub 2 months ago
  • tokenizer_config.json
    1.32 kB
    Upload folder using huggingface_hub 2 months ago