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
Adding `safetensors` variant of this model
#4
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f8a3a555906f8b6764dc083dae92e5da43ce75295df2f75a45ed8856d1ba3973
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size 737722356
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