Instructions to use parkth/ai.keepit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parkth/ai.keepit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="parkth/ai.keepit")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("parkth/ai.keepit") model = AutoModelForSequenceClassification.from_pretrained("parkth/ai.keepit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b5c18357412115e56dd5d9c53a36f960579db6d127dd85fcdac319b13f1773d
- Size of remote file:
- 4.03 kB
- SHA256:
- ce37b3fc722d26f9924171171bf0283589d6316515c56c2273852712f156793f
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