Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
classification
nlp
vulnerability
text-embeddings-inference
Instructions to use CIRCL/vulnerability-severity-classification-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CIRCL/vulnerability-severity-classification-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CIRCL/vulnerability-severity-classification-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CIRCL/vulnerability-severity-classification-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("CIRCL/vulnerability-severity-classification-roberta-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download emissions.csv from CIRCL/vulnerability-severity-classification-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 1.01 kB
-
https://huggingface.co/CIRCL/vulnerability-severity-classification-roberta-base/resolve/main/emissions.csv
- Command line
-
hf download hf://CIRCL/vulnerability-severity-classification-roberta-base/emissions.csv
-
curl -L -o emissions.csv https://huggingface.co/CIRCL/vulnerability-severity-classification-roberta-base/resolve/main/emissions.csv
1.01 kB
| timestamp,project_name,run_id,experiment_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,water_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,cpu_utilization_percent,gpu_utilization_percent,ram_utilization_percent,ram_used_gb,on_cloud,pue,wue | |
| 2026-10-14T17:12:39,VulnTrain,10373828-fb5c-4b3a-90f1-e9abb881ff34,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,17484.878678262,0.5339587645288342,3.053831681386935e-05,70.00023979830081,906.1006087600176,70.0,0.3399453059461466,4.393544974833166,0.3391255911684121,5.0726158719477334,0.0,Luxembourg,LUX,luxembourg,,,Linux-6.8.0-146-generic-x86_64-with-glibc2.39,3.12.3,3.3.1,224,Intel(R) Xeon(R) Platinum 8480+,4,4 x NVIDIA L40S,6.1327,49.6098,2015.3354225158691,machine,0.9599655765920827,78.07448364888124,1.1008146873207114,22.84886298581778,N,1.0,0.0 | |