Instructions to use Maxinstellar/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maxinstellar/outputs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Maxinstellar/outputs")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Maxinstellar/outputs") model = AutoModelForSequenceClassification.from_pretrained("Maxinstellar/outputs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd809252619fe9aee1e43065e30a4e8e071a4da3f3119099df052587281c7b96
- Size of remote file:
- 711 MB
- SHA256:
- 3d1c442b89a660bf6c4b11b29241760e4b2a3a91cd238dd7b43e1e90266d347f
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