Instructions to use Johnson8187/Vision_or_not with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Johnson8187/Vision_or_not with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Johnson8187/Vision_or_not")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Johnson8187/Vision_or_not") model = AutoModelForSequenceClassification.from_pretrained("Johnson8187/Vision_or_not") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13a9dbd1443ed046ade96229a1b0e8037f659610ba74d9b48783ba0ca3966fd7
- Size of remote file:
- 5.18 kB
- SHA256:
- a29fe63ab7fa85dfbcc129a9e8d1718ce59a8e8e2b8f31f40307dc048c8d0f5d
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