Instructions to use Devishetty100/redmoon-gibberishdetective with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devishetty100/redmoon-gibberishdetective with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Devishetty100/redmoon-gibberishdetective")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Devishetty100/redmoon-gibberishdetective") model = AutoModelForSequenceClassification.from_pretrained("Devishetty100/redmoon-gibberishdetective") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f0e4056a27113e05224a4907019a31900d1d3154d2d87633911cc62cb173022
- Size of remote file:
- 14.2 kB
- SHA256:
- 9c16bad3a5ef45420da273943dddc8a1b9c2e918783152a7d6935d6230b34394
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