Instructions to use rose-e-wang/0.0000005_0.99 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/0.0000005_0.99 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/0.0000005_0.99")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/0.0000005_0.99") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/0.0000005_0.99", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88c39ac21b89228a348dfc7978fa5f44ed4139c751eb8f1837d72881da1f04a9
- Size of remote file:
- 4.09 kB
- SHA256:
- 27dd7d28bfec2ad63b6340e32633d6f1d6ae8b2eebf700b8b2fb9109f28f3197
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