Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
cybersecurity
text-embeddings-inference
Instructions to use conflick0/impact-cat-secbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use conflick0/impact-cat-secbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="conflick0/impact-cat-secbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("conflick0/impact-cat-secbert") model = AutoModelForSequenceClassification.from_pretrained("conflick0/impact-cat-secbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 963253ce70c3c9afb3917509e7648adde0f664d57b47f467c14cfbee974e0b04
- Size of remote file:
- 4.92 kB
- SHA256:
- ba5b16de154f0c4417d51a778ffd21da9b99e102f6a5b435399de1dbd1453ecd
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