# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("kangnichaluo/cb")
model = AutoModelForSequenceClassification.from_pretrained("kangnichaluo/cb")Quick Links
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learning rate: 5e-5
training epochs: 5
batch size: 8
seed: 42
model: bert-base-uncased
trained on CB which is converted into two-way nli classification (predict entailment or not-entailment class)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kangnichaluo/cb")