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sileod
/
mdeberta-v3-base-tasksource-nli

Zero-Shot Classification
Transformers
PyTorch
Safetensors
deberta-v2
text-classification
mdeberta-v3-base
nli
natural-language-inference
multitask
multi-task
pipeline
extreme-multi-task
extreme-mtl
tasksource
zero-shot
rlhf
Model card Files Files and versions
xet
Community
2

Instructions to use sileod/mdeberta-v3-base-tasksource-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sileod/mdeberta-v3-base-tasksource-nli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="sileod/mdeberta-v3-base-tasksource-nli")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sileod/mdeberta-v3-base-tasksource-nli")
    model = AutoModelForSequenceClassification.from_pretrained("sileod/mdeberta-v3-base-tasksource-nli")
  • Notebooks
  • Google Colab
  • Kaggle
mdeberta-v3-base-tasksource-nli
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  • 2 contributors
History: 27 commits
sileod's picture
sileod
Update README.md
4b26406 over 2 years ago
  • .gitattributes
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    Upload tokenizer about 3 years ago
  • README.md
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  • added_tokens.json
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  • config.json
    16.8 kB
    Upload DebertaV2ForSequenceClassification almost 3 years ago
  • model.safetensors
    1.12 GB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    1.12 GB
    xet
    Upload DebertaV2ForSequenceClassification almost 3 years ago
  • special_tokens_map.json
    173 Bytes
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  • spm.model
    4.31 MB
    xet
    Upload tokenizer about 3 years ago
  • tokenizer.json
    16.3 MB
    xet
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    455 Bytes
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