Text Classification
Transformers
PyTorch
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use CIRCL/cwe-parent-vulnerability-classification-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CIRCL/cwe-parent-vulnerability-classification-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CIRCL/cwe-parent-vulnerability-classification-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CIRCL/cwe-parent-vulnerability-classification-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("CIRCL/cwe-parent-vulnerability-classification-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CIRCL/cwe-parent-vulnerability-classification-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/CIRCL/cwe-parent-vulnerability-classification-roberta-base/resolve/main/training_args.bin
- Command line
-
hf download hf://CIRCL/cwe-parent-vulnerability-classification-roberta-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CIRCL/cwe-parent-vulnerability-classification-roberta-base/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- 6318d186798288dca35b24db09938d7e887e1924a6caa715818c913d97e368e2
- Size of remote file:
- 5.27 kB
- SHA256:
- aea8ce58c67d9d2f17f8a1e8e866b13890d0db7bf94a65e738e28e595ce8b629
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