Tiny reward models
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# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("trl-internal-testing/tiny-Qwen2ForSequenceClassification-2.5")
model = AutoModelForSequenceClassification.from_pretrained("trl-internal-testing/tiny-Qwen2ForSequenceClassification-2.5")Quick Links
Tiny Qwen2ForSequenceClassification
This is a minimal model built for unit tests in the TRL library.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trl-internal-testing/tiny-Qwen2ForSequenceClassification-2.5")