Zero-Shot Classification
Transformers
PyTorch
English
deberta-v2
text-classification
classification
information-extraction
zero-shot
Instructions to use knowledgator/comprehend_it-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knowledgator/comprehend_it-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="knowledgator/comprehend_it-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("knowledgator/comprehend_it-base") model = AutoModelForSequenceClassification.from_pretrained("knowledgator/comprehend_it-base") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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backbone_model = AutoModelForSequenceClassification.from_pretrained('knowledgator/comprehend_it-base')
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loss_func = FocalLoss(
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model = LiqFitModel(backbone_model.config, backbone_model, loss_func=loss_func)
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backbone_model = AutoModelForSequenceClassification.from_pretrained('knowledgator/comprehend_it-base')
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loss_func = FocalLoss()
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model = LiqFitModel(backbone_model.config, backbone_model, loss_func=loss_func)
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