Instructions to use gguk2on/qwen3-8b-correctness-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gguk2on/qwen3-8b-correctness-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gguk2on/qwen3-8b-correctness-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gguk2on/qwen3-8b-correctness-classifier") model = AutoModelForSequenceClassification.from_pretrained("gguk2on/qwen3-8b-correctness-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be0c1732eeba2bd3f7fa54a12f045bf0799fc9f2d955189afb973fba1127c8af
- Size of remote file:
- 11.4 MB
- SHA256:
- babc71288159204a202b8eee0c53b38759b9c8570246bbf2d202ccc17cdd479f
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