Instructions to use Bugsec/fine_tuned_deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bugsec/fine_tuned_deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bugsec/fine_tuned_deberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Bugsec/fine_tuned_deberta") model = AutoModelForSequenceClassification.from_pretrained("Bugsec/fine_tuned_deberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9544b2236d3776b38532cafc2eea6d8564d6d757fe9036880902878f68e7b77c
- Size of remote file:
- 5.24 kB
- SHA256:
- 4907ae6e6f9b36a0742aef95829dbc85ea4f8219c19a129aee39dad6e45349fa
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