How to use trl-internal-testing/tiny-Qwen3ForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trl-internal-testing/tiny-Qwen3ForSequenceClassification")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("trl-internal-testing/tiny-Qwen3ForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("trl-internal-testing/tiny-Qwen3ForSequenceClassification", device_map="auto")
https://huggingface.co/trl-internal-testing/tiny-Qwen3ForSequenceClassification/resolve/main/README.md
hf download hf://trl-internal-testing/tiny-Qwen3ForSequenceClassification/README.md
curl -L -o README.md https://huggingface.co/trl-internal-testing/tiny-Qwen3ForSequenceClassification/resolve/main/README.md
library_name: transformers tags: - trl
This is a minimal model built for unit tests in the TRL library.
