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
redmoon-gibberishdetective / runs /Mar25_05-05-14_bc0f21d7af29 /events.out.tfevents.1742879135.bc0f21d7af29.739.0
- Xet hash:
- e76459b2705ea7eb3051581b9cfd478d4d2f0e46e77868c79fd6ccecc0591935
- Size of remote file:
- 5.14 kB
- SHA256:
- 74471b66931b9bb1380eeeec014788103863182c7abb9623f4efdbce11fa4d9a
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