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mjwong
/
mcontriever-xnli

Zero-Shot Classification
Transformers
PyTorch
Safetensors
bert
text-classification
Model card Files Files and versions
xet
Community
2

Instructions to use mjwong/mcontriever-xnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mjwong/mcontriever-xnli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="mjwong/mcontriever-xnli")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mjwong/mcontriever-xnli")
    model = AutoModelForSequenceClassification.from_pretrained("mjwong/mcontriever-xnli")
  • Notebooks
  • Google Colab
  • Kaggle
mcontriever-xnli
1.43 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 7 commits
mjwong's picture
mjwong
librarian-bot's picture
librarian-bot
Librarian Bot: Add base_model information to model (#2)
d6dd6d2 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    3.87 kB
    Librarian Bot: Add base_model information to model (#2) almost 3 years ago
  • config.json
    1.08 kB
    Upload model weights and tokenizer about 3 years ago
  • model.safetensors
    711 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    711 MB
    xet
    Upload model weights and tokenizer about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload model weights and tokenizer about 3 years ago
  • tokenizer.json
    2.92 MB
    Upload model weights and tokenizer about 3 years ago
  • tokenizer_config.json
    315 Bytes
    Upload model weights and tokenizer about 3 years ago
  • training_args.bin
    3.57 kB
    xet
    Upload model weights and tokenizer about 3 years ago
  • vocab.txt
    996 kB
    Upload model weights and tokenizer about 3 years ago