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

davidburhans
/
gevva-e2b

Text Classification
Transformers
Safetensors
gemma4
gevva
cross-encoder
nli
gemma-4
system1
decision-engine
fast-inference
multimodal
vision
long-context
128k
zero-shot
tool-routing
reranking
hallucination-detection
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use davidburhans/gevva-e2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use davidburhans/gevva-e2b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="davidburhans/gevva-e2b")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSequenceClassification
    
    processor = AutoProcessor.from_pretrained("davidburhans/gevva-e2b")
    model = AutoModelForSequenceClassification.from_pretrained("davidburhans/gevva-e2b", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
gevva-e2b
10.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
davidburhans's picture
davidburhans
docs: overhaul model card with empirical latency, actual 5.1B download size, and independent test results
8c7b91a verified 4 days ago
  • .gitattributes
    1.57 kB
    Upload folder using huggingface_hub 6 days ago
  • README.md
    11.6 kB
    docs: overhaul model card with empirical latency, actual 5.1B download size, and independent test results 4 days ago
  • calibration.json
    545 Bytes
    fix: set default optimal_temperature to 1.0 to preserve calibration on general NLI data 4 days ago
  • chat_template.jinja
    18.6 kB
    Upload folder using huggingface_hub 6 days ago
  • config.json
    5.43 kB
    Upload folder using huggingface_hub 6 days ago
  • eval_report.json
    525 Bytes
    Upload folder using huggingface_hub 6 days ago
  • head_weights.pt
    14.3 kB
    xet
    Upload folder using huggingface_hub 6 days ago
  • model.safetensors
    10.2 GB
    xet
    Upload folder using huggingface_hub 6 days ago
  • qat_config.json
    170 Bytes
    Upload folder using huggingface_hub 6 days ago
  • test_evaluation_report.json
    1.59 kB
    Upload folder using huggingface_hub 6 days ago
  • tokenizer.json
    32.2 MB
    xet
    Upload folder using huggingface_hub 6 days ago
  • tokenizer_config.json
    3.73 kB
    Upload folder using huggingface_hub 6 days ago