Zero-Shot Classification
sentence-transformers
PyTorch
JAX
ONNX
Safetensors
OpenVINO
Transformers
English
roberta
text-classification
Instructions to use cross-encoder/nli-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use cross-encoder/nli-roberta-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cross-encoder/nli-roberta-base") 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-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="cross-encoder/nli-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cross-encoder/nli-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("cross-encoder/nli-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add exported onnx model 'model_qint8_avx512_vnni.onnx'
Verified signature9554518 -
Add exported onnx model 'model_qint8_avx512.onnx'
Verified signature49257a1 -
Add exported onnx model 'model_quint8_avx2.onnx'
Verified signature14a3096 -
Add exported onnx model 'model_qint8_arm64.onnx'
Verified signature20cae34 -
Add exported onnx model 'model_O4.onnx'
Verified signature37d83bb -
Add exported onnx model 'model_O3.onnx'
Verified signaturebd02bac -
Add exported onnx model 'model_O2.onnx'
Verified signature3000bb9 -
Add exported onnx model 'model_O1.onnx'
Verified signature2c765c6 -
Add new CrossEncoder model
Verified signaturea745456