Instructions to use Bugsec/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bugsec/content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bugsec/content")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Bugsec/content") model = AutoModelForSequenceClassification.from_pretrained("Bugsec/content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e9fb3cfaf54375fb9308df766f29065610272a0415df4b8bffb077d7094accc
- Size of remote file:
- 738 MB
- SHA256:
- 33879401844824205767ecbcb92d80745b91b15629e5b8a3bbcd8d2069f79f87
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