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zero shot classification

distilbert-base-uncased-mnli

distilbert-base-uncased-mnli is an open-source zero-shot-classification model available on HuggingFace. Details are sourced from the public model registry.

Last reviewed

Use cases

  • Building zero-shot-classification applications
  • Research and experimentation
  • Open-source AI prototyping

Pros

  • Open weights available
  • Community support on HuggingFace

Cons

  • Requires manual evaluation for production use
  • Licensing terms vary — check model card

FAQ

What is distilbert-base-uncased-mnli used for?

Building zero-shot-classification applications. Research and experimentation. Open-source AI prototyping.

Is distilbert-base-uncased-mnli free to use?

distilbert-base-uncased-mnli is an open-source model published on HuggingFace. License terms vary by model — check the model card for the specific license.

How do I run distilbert-base-uncased-mnli locally?

Most HuggingFace models can be loaded with transformers or the appropriate framework library. See the model card for framework-specific instructions and hardware requirements.

Tags

transformerspytorchtfsafetensorsdistilberttext-classificationzero-shot-classificationendataset:multi_nliarxiv:1910.09700arxiv:2105.09680endpoints_compatibledeploy:azureregion:us