Instructions to use Waliguren/resultados with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Waliguren/resultados with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Waliguren/resultados")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Waliguren/resultados") model = AutoModelForSequenceClassification.from_pretrained("Waliguren/resultados") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cd65f9708f91acca09b4a6f7aed878581e6078d2f0898d751b7a0db8f016c05
- Size of remote file:
- 5.14 kB
- SHA256:
- bea6ca2babcbfbda0689fcf8e3a5f67145fc84663208a8a4c5195f5dc93e1884
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