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

Alverciito
/
wikipedia_segmentation

Sentence Similarity
Transformers
Safetensors
sentence_cosenet
feature-extraction
sentence-embeddings
information-retrieval
semantic-search
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Alverciito/wikipedia_segmentation with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Alverciito/wikipedia_segmentation", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wikipedia_segmentation / research_files /benchmark /thresholding_benchmark
1.73 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
alverciito
upload safetensors and refactor research files
dbd79bd 7 months ago
  • benchmark_result_A001_1.json
    352 kB
    upload safetensors and refactor research files 7 months ago
  • benchmark_result_A001_2.json
    347 kB
    upload safetensors and refactor research files 7 months ago
  • benchmark_result_A001_3.json
    343 kB
    upload safetensors and refactor research files 7 months ago
  • benchmark_result_A001_4.json
    340 kB
    upload safetensors and refactor research files 7 months ago
  • benchmark_result_A001_5.json
    341 kB
    upload safetensors and refactor research files 7 months ago
  • benchmark_threshold.py
    5.73 kB
    upload safetensors and refactor research files 7 months ago
  • print_results.py
    1.71 kB
    upload safetensors and refactor research files 7 months ago