# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Integer-Ctrl/cross-encoder-bert-tiny-1gb-bs32")
model = AutoModelForSequenceClassification.from_pretrained("Integer-Ctrl/cross-encoder-bert-tiny-1gb-bs32")Quick Links
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Check out the documentation for more information.
Trained on a subset of ~1GB from the msmarco dataset "Train Triples Small". Batch size: 32
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Integer-Ctrl/cross-encoder-bert-tiny-1gb-bs32")