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Flaglab
/
ESNLIR-AL-BERTIN-NegE

Text Classification
Transformers
Safetensors
Spanish
roberta
nli
spanish
causal
esnlir
active-learning
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Flaglab/ESNLIR-AL-BERTIN-NegE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Flaglab/ESNLIR-AL-BERTIN-NegE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Flaglab/ESNLIR-AL-BERTIN-NegE")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Flaglab/ESNLIR-AL-BERTIN-NegE")
    model = AutoModelForSequenceClassification.from_pretrained("Flaglab/ESNLIR-AL-BERTIN-NegE", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ESNLIR-AL-BERTIN-NegE
504 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
jd-rodriguezp1234's picture
jd-rodriguezp1234
Cite the IBERAMIA 2026 paper
fafc36e verified about 20 hours ago
  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • README.md
    4.71 kB
    Cite the IBERAMIA 2026 paper about 20 hours ago
  • best_iteration.json
    103 Bytes
    Best AL checkpoint: round 6, 710,000 labels 1 day ago
  • config.json
    890 Bytes
    Best AL checkpoint: round 6, 710,000 labels 1 day ago
  • merges.txt
    509 kB
    Best AL checkpoint: round 6, 710,000 labels 1 day ago
  • model.safetensors
    499 MB
    xet
    Best AL checkpoint: round 6, 710,000 labels 1 day ago
  • special_tokens_map.json
    957 Bytes
    Best AL checkpoint: round 6, 710,000 labels 1 day ago
  • tokenizer.json
    3.66 MB
    Best AL checkpoint: round 6, 710,000 labels 1 day ago
  • tokenizer_config.json
    1.26 kB
    Best AL checkpoint: round 6, 710,000 labels 1 day ago
  • training_args.bin
    5.91 kB
    xet
    Best AL checkpoint: round 6, 710,000 labels 1 day ago
  • vocab.json
    851 kB
    Best AL checkpoint: round 6, 710,000 labels 1 day ago