Instructions to use Minchoi2/ai.keepit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Minchoi2/ai.keepit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Minchoi2/ai.keepit")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Minchoi2/ai.keepit") model = AutoModelForSequenceClassification.from_pretrained("Minchoi2/ai.keepit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 668d93c902be8c5e7e93a8b6af76997561f494fc5fdac45a862f926dbc133ba1
- Size of remote file:
- 3.96 kB
- SHA256:
- 2a8de06ca8c874898575031ac30d5da0336297d94989cab0eada0cc4e77cb3c1
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