Instructions to use Team-PIXEL/pixel-base-finetuned-qnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Team-PIXEL/pixel-base-finetuned-qnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Team-PIXEL/pixel-base-finetuned-qnli")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("Team-PIXEL/pixel-base-finetuned-qnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c62c5f3a5935547abe8c59a7d33e1ba63b1f900fae4b2b6ae26b7e62f77186b
- Size of remote file:
- 346 MB
- SHA256:
- e364f6ac17d78854f5039b56f129b9b7ffc87a59186a2e1f1b8082688470c809
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