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

  • Log In
  • Sign Up

Detsutut
/
BioNEG

Text Classification
Transformers
Safetensors
Italian
bert
NER
assertion negation
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Detsutut/BioNEG with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Detsutut/BioNEG")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Detsutut/BioNEG")
    model = AutoModelForSequenceClassification.from_pretrained("Detsutut/BioNEG")
  • Notebooks
  • Google Colab
  • Kaggle

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Gated model
You can list files but not access them

Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.63 kB
    Update README.md over 2 years ago
  • added_tokens.json
    25 Bytes
    Upload tokenizer over 2 years ago
  • config.json
    854 Bytes
    Upload BertForSequenceClassification over 2 years ago
  • model.safetensors
    440 MB
    xet
    Upload BertForSequenceClassification over 2 years ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    725 kB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.65 kB
    Upload tokenizer over 2 years ago
  • vocab.txt
    235 kB
    Upload tokenizer over 2 years ago