Instructions to use csala23/JustinIA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csala23/JustinIA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="csala23/JustinIA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("csala23/JustinIA") model = AutoModelForSequenceClassification.from_pretrained("csala23/JustinIA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9731ef5c74f859f1674f6dd01ab4bb0cc046c2e08d8a6b2bdbd2578776e1d5e
- Size of remote file:
- 3.58 kB
- SHA256:
- f49efcbeac67a2f541600dce7248cf28d04fd8307a53acc8881839659524b570
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