Instructions to use peril10/Pypinion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peril10/Pypinion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="peril10/Pypinion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("peril10/Pypinion") model = AutoModelForSequenceClassification.from_pretrained("peril10/Pypinion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f0ecebff7c17466714b3784ea7ac9cfe1924b234157a54eb73f885082a48284
- Size of remote file:
- 499 MB
- SHA256:
- 3d968834919fb5cd3d68a9404eb92395121f574fecd72bc1db99b2019f8d3860
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