Instructions to use MMADS/MoralFoundationsClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MMADS/MoralFoundationsClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="MMADS/MoralFoundationsClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("MMADS/MoralFoundationsClassifier") model = AutoModelForMaskedLM.from_pretrained("MMADS/MoralFoundationsClassifier") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2578c209119f98f00309a0997b4f75b46c576fa720e1d2eba7e0ab134aa1552f
- Size of remote file:
- 499 MB
- SHA256:
- de385a12fdaf92a7bd329f154f338de4e4f9261c6c57f964ade756132ac3a508
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