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
- Xet hash:
- 2c5722c651b980b9f71e66c9d7bace31f739ceb8801132f17f4803a01a59202a
- Size of remote file:
- 738 MB
- SHA256:
- acc19b659a271e4893620b1b000145efd7d9db2895bca656c9cba7c0f8600605
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