Zero-Shot Classification
Transformers
Safetensors
English
deberta-v2
text-classification
stance-detection
cryptocurrency
nli
natural-language-inference
deberta-v3
bitcoin
ethereum
finance
Eval Results (legacy)
Instructions to use syahrezapratama/deberta-crypto-stance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syahrezapratama/deberta-crypto-stance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="syahrezapratama/deberta-crypto-stance")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("syahrezapratama/deberta-crypto-stance") model = AutoModelForSequenceClassification.from_pretrained("syahrezapratama/deberta-crypto-stance", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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