Instructions to use alpha-max/adv_secure with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alpha-max/adv_secure with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alpha-max/adv_secure")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alpha-max/adv_secure") model = AutoModelForSequenceClassification.from_pretrained("alpha-max/adv_secure", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4b39ff7c521c281b4249146c6efc7856d0a07b87f58253c90d46b41cbc9d91c
- Size of remote file:
- 438 MB
- SHA256:
- 8509477dead3d64c0bd02b99b1ff376c0314233309504a16b62faa087715476f
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