Instructions to use AIWizards/MultiPRIDE-baseline-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/MultiPRIDE-baseline-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/MultiPRIDE-baseline-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/MultiPRIDE-baseline-es") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/MultiPRIDE-baseline-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47dcd2c58969950660a8b96fc2c3a014f66c3935f981cb175d71ab03bae51181
- Size of remote file:
- 5.97 kB
- SHA256:
- f04c9b2243282c604b08e57646c19a690515bb4976133f9bca7d18d203a3a511
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