Instructions to use yulan-team/reasoning-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yulan-team/reasoning-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yulan-team/reasoning-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yulan-team/reasoning-classifier") model = AutoModelForSequenceClassification.from_pretrained("yulan-team/reasoning-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50babb18c87514fb252a3b7a6e852cf3337948518679516ff7457cc8b9af7c6f
- Size of remote file:
- 17.5 MB
- SHA256:
- 8cc16f9cd5fe9ba246f655b4054b9262f6b8fee17c21fee8adeebacfe1f270a5
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