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:
- f53ff1e1c3bdc8b804039275c255465adfd2b46a907dafefffbb76aff6a3a36b
- Size of remote file:
- 499 MB
- SHA256:
- 4f89e7a118ef853dac1b00a3485a09097633ac98735331c40f716cf9e1256a8c
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