Instructions to use AIWizards/MultiPRIDE-LGBT-Pretrain-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/MultiPRIDE-LGBT-Pretrain-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/MultiPRIDE-LGBT-Pretrain-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/MultiPRIDE-LGBT-Pretrain-it") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/MultiPRIDE-LGBT-Pretrain-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b81223661a32a3d5017f3a37c8b5dd796853fb4756f8b1dad2ff4cea962d4f8b
- Size of remote file:
- 5.97 kB
- SHA256:
- df521cc5b18fffbbd824646aeeda8bd9786381beb41699dc01279835004e33f7
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