Zero-Shot Classification
Transformers
PyTorch
TensorFlow
Safetensors
English
distilbert
text-classification
Instructions to use typeform/distilbert-base-uncased-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use typeform/distilbert-base-uncased-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="typeform/distilbert-base-uncased-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("typeform/distilbert-base-uncased-mnli") model = AutoModelForSequenceClassification.from_pretrained("typeform/distilbert-base-uncased-mnli") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb61b035956ee6292f1fb5833223bc5206a4c078455634155550dc7afd48769a
- Size of remote file:
- 2.16 kB
- SHA256:
- 4260388ec322db77beec97fb72f7af3c54e948a8396b8ce3270a6cc6aa8a7604
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