Instructions to use AIWizards/MultiPRIDE-LGBT-Pretrain-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/MultiPRIDE-LGBT-Pretrain-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/MultiPRIDE-LGBT-Pretrain-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/MultiPRIDE-LGBT-Pretrain-es") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/MultiPRIDE-LGBT-Pretrain-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94447b51bd6a54f58d1f544bab886049f0c7f59c1d81a9546f856eedfbf6e5c3
- Size of remote file:
- 5.97 kB
- SHA256:
- be2449dec20476f5e9edf9391337915e9c938784214ab1db5b6068df544c0054
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