Text Classification
Transformers
ONNX
Safetensors
modernbert
semantic-router
vela
text-embeddings-inference
Instructions to use vllm-sr/Vela-1.0-Encoder-307M-Guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/Vela-1.0-Encoder-307M-Guard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vllm-sr/Vela-1.0-Encoder-307M-Guard")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vllm-sr/Vela-1.0-Encoder-307M-Guard") model = AutoModelForSequenceClassification.from_pretrained("vllm-sr/Vela-1.0-Encoder-307M-Guard", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download label_mapping.json from vllm-sr/Vela-1.0-Encoder-307M-Guard: direct link, hf CLI and curl.
- Browser
- Download file 247 Bytes
-
https://huggingface.co/vllm-sr/Vela-1.0-Encoder-307M-Guard/resolve/ab27ec4efe2bdc45336df2d35abb6f687e41214e/label_mapping.json
- Command line
-
hf download hf://vllm-sr/Vela-1.0-Encoder-307M-Guard@ab27ec4efe2bdc45336df2d35abb6f687e41214e/label_mapping.json
-
curl -L -o label_mapping.json https://huggingface.co/vllm-sr/Vela-1.0-Encoder-307M-Guard/resolve/ab27ec4efe2bdc45336df2d35abb6f687e41214e/label_mapping.json
247 Bytes
| { | |
| "label2id": { | |
| "benign": 0, | |
| "jailbreak": 1 | |
| }, | |
| "id2label": { | |
| "0": "benign", | |
| "1": "jailbreak" | |
| }, | |
| "label_to_idx": { | |
| "benign": 0, | |
| "jailbreak": 1 | |
| }, | |
| "idx_to_label": { | |
| "0": "benign", | |
| "1": "jailbreak" | |
| } | |
| } | |