Instructions to use whitedevil0089devil/cyber_bot1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitedevil0089devil/cyber_bot1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whitedevil0089devil/cyber_bot1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whitedevil0089devil/cyber_bot1") model = AutoModelForSequenceClassification.from_pretrained("whitedevil0089devil/cyber_bot1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 026766ad253cf48f7dab01d21c482bebad523103ce5ecad704d542b564683c1b
- Size of remote file:
- 208 MB
- SHA256:
- 3a00fdb83c2876316c0b73057600926b2ba4e65cdf8b6346fd2e4ae8e1e4a186
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