Instructions to use Team-PIXEL/pixel-base-finetuned-qqp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Team-PIXEL/pixel-base-finetuned-qqp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Team-PIXEL/pixel-base-finetuned-qqp")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("Team-PIXEL/pixel-base-finetuned-qqp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4c90bebdb5ae37c10a16b688b29eb41233c4cad15f96bd59b4a205d4bef12a3
- Size of remote file:
- 346 MB
- SHA256:
- ad702f5c4f4c02ba0648c015c61d51c2a843345a36c7b9d600b2b1715888224d
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