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 pytorch_model.bin from CIRCL/cwe-parent-vulnerability-classification-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/CIRCL/cwe-parent-vulnerability-classification-roberta-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://CIRCL/cwe-parent-vulnerability-classification-roberta-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CIRCL/cwe-parent-vulnerability-classification-roberta-base/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 9cefb42f49326de7aaddced56d1acd0e2a099fd6460506f2ce26beeefb9862b3
- Size of remote file:
- 499 MB
- SHA256:
- 9117c3932030aab1b8f74d8133701e67323d2a56bbff0959ca18e70793e19209
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