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AMR-KELEG
/
Sentence-ALDi

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use AMR-KELEG/Sentence-ALDi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AMR-KELEG/Sentence-ALDi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AMR-KELEG/Sentence-ALDi")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AMR-KELEG/Sentence-ALDi")
    model = AutoModelForSequenceClassification.from_pretrained("AMR-KELEG/Sentence-ALDi", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Sentence-ALDi
1.96 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 14 commits
AMR-KELEG's picture
AMR-KELEG
Update README.md
d8ce98a verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    4.1 kB
    Update README.md about 1 year ago
  • config.json
    978 Bytes
    Track the fine-tuned model's files almost 3 years ago
  • optimizer.pt
    1.3 GB
    xet
    Track the final version of the model almost 3 years ago
  • pytorch_model.bin
    651 MB
    xet
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  • rng_state.pth
    14.6 kB
    xet
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  • scheduler.pt
    627 Bytes
    xet
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  • special_tokens_map.json
    112 Bytes
    Track MarBERT's tokenization files almost 3 years ago
  • tokenizer.json
    881 kB
    Track the tokenizer json file almost 3 years ago
  • tokenizer_config.json
    376 Bytes
    Track MarBERT's tokenization files almost 3 years ago
  • trainer_state.json
    5.04 kB
    Track the final version of the model almost 3 years ago
  • training_args.bin
    3.52 kB
    xet
    Track the final version of the model almost 3 years ago
  • vocab.txt
    1.1 MB
    Track MarBERT's tokenization files almost 3 years ago