Zero-Shot Classification
sentence-transformers
PyTorch
ONNX
Safetensors
Transformers
English
deberta-v2
text-classification
Instructions to use cross-encoder/nli-deberta-v3-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use cross-encoder/nli-deberta-v3-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cross-encoder/nli-deberta-v3-large") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use cross-encoder/nli-deberta-v3-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="cross-encoder/nli-deberta-v3-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cross-encoder/nli-deberta-v3-large") model = AutoModelForSequenceClassification.from_pretrained("cross-encoder/nli-deberta-v3-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 678 Bytes
52fab31 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | epoch,steps,Accuracy
0,10000,0.9075138627460956
0,20000,0.8990690339319326
0,30000,0.9016635295314647
0,40000,0.900137355649387
0,50000,0.9045632599074122
0,-1,0.9029862135625986
1,10000,0.9057841990130743
1,20000,0.9093961438673246
1,30000,0.906547285954113
1,40000,0.9111766800630818
1,50000,0.9114310423767614
1,-1,0.9131098336470469
2,10000,0.9129572162588391
2,20000,0.9115836597649692
2,30000,0.9147377524545963
2,40000,0.9150429872310119
2,50000,0.9145342626036527
2,-1,0.913720303199878
3,10000,0.9127028539451595
3,20000,0.9131607061097827
3,30000,0.9142799002899731
3,40000,0.916213053873938
3,50000,0.9167726509640332
3,-1,0.9172305031286565
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