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

Shaer-AI
/
ARBERT-base-submeter-classifier

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Shaer-AI/ARBERT-base-submeter-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Shaer-AI/ARBERT-base-submeter-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Shaer-AI/ARBERT-base-submeter-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Shaer-AI/ARBERT-base-submeter-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("Shaer-AI/ARBERT-base-submeter-classifier", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ARBERT-base-submeter-classifier
2.61 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 78 commits
NourFakih's picture
NourFakih
Update README.md
1c4a1c1 verified 3 days ago
  • evaluation
    Add evaluation artifacts 3 days ago
  • last-checkpoint
    Training in progress, step 17346, checkpoint 3 days ago
  • .gitattributes
    1.52 kB
    initial commit 3 days ago
  • README.md
    4.62 kB
    Update README.md 3 days ago
  • all_results.json
    204 Bytes
    Complete ARBERT sub-meter training 3 days ago
  • config.json
    2.36 kB
    Training in progress, step 500 3 days ago
  • label_0_to_24_semantic_mapping.csv
    699 Bytes
    Upload trained ARBERT sub-meter classifier 3 days ago
  • model.safetensors
    651 MB
    xet
    Save final ARBERT sub-meter model 3 days ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, step 500 3 days ago
  • tokenizer.json
    2.76 MB
    Training in progress, step 500 3 days ago
  • tokenizer_config.json
    1.29 kB
    Training in progress, step 500 3 days ago
  • train_results.json
    204 Bytes
    Complete ARBERT sub-meter training 3 days ago
  • trainer_state.json
    18.9 kB
    Complete ARBERT sub-meter training 3 days ago
  • training_args.bin
    5.97 kB
    xet
    Complete ARBERT sub-meter training 3 days ago
  • vocab.txt
    1.17 MB
    Training in progress, step 500 3 days ago