Instructions to use Team-PIXEL/pixel-base-finetuned-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Team-PIXEL/pixel-base-finetuned-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Team-PIXEL/pixel-base-finetuned-mnli")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("Team-PIXEL/pixel-base-finetuned-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22aefa57b2fc655ca1825b1dce230fb938d0cbdf1e477793b17862a81927d2cc
- Size of remote file:
- 346 MB
- SHA256:
- 0bf98803a4df71565bdda509eadb52080ed95f0ad0efd725b58b9649c1c018f2
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