Instructions to use TheJournal/Opposite_Day with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheJournal/Opposite_Day with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheJournal/Opposite_Day")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheJournal/Opposite_Day") model = AutoModelForSequenceClassification.from_pretrained("TheJournal/Opposite_Day") - Notebooks
- Google Colab
- Kaggle
Commit ·
2876c69
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Parent(s): c954e26
Upload pytorch_model.bin with huggingface_hub
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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oid sha256:686e44a75bdaff01162eb0af3e7b20231fbe9e887d78bd390e29a8bee53351f7
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