Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use rdp99/deberta-v3-small-finetuned-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rdp99/deberta-v3-small-finetuned-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rdp99/deberta-v3-small-finetuned-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rdp99/deberta-v3-small-finetuned-mnli") model = AutoModelForSequenceClassification.from_pretrained("rdp99/deberta-v3-small-finetuned-mnli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9d45c3ad35117c32abf55d6310694e8a7ef7bfe3e45bde897b6607bdd934453
- Size of remote file:
- 568 MB
- SHA256:
- deee456b20f4c007daafce6581875ec482c15ec4c3ac7d6a7f8fe42134f03268
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