Zero-Shot Classification
Transformers
PyTorch
Safetensors
English
deberta-v2
text-classification
deberta-v3
deberta-v2`
deberta-mnli
Instructions to use NDugar/v3large-2epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NDugar/v3large-2epoch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="NDugar/v3large-2epoch")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NDugar/v3large-2epoch") model = AutoModelForSequenceClassification.from_pretrained("NDugar/v3large-2epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c95ed56d4bc5a6ad7dadd1abdecef27d5b743b60e88d331023bf4e0f464d991c
- Size of remote file:
- 1.74 GB
- SHA256:
- c3d5aed6f9ae8e259b085b87c452983542378960c4d3665384f3ef5abcfabf6d
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