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 onnx/model_rocm_512.onnx from vllm-sr/Vela-1.0-Encoder-307M-Guard: direct link, hf CLI and curl.
- Browser
- Download file 165 kB
-
https://huggingface.co/vllm-sr/Vela-1.0-Encoder-307M-Guard/resolve/main/onnx/model_rocm_512.onnx
- Command line
-
hf download hf://vllm-sr/Vela-1.0-Encoder-307M-Guard/onnx/model_rocm_512.onnx
-
curl -L -o model_rocm_512.onnx https://huggingface.co/vllm-sr/Vela-1.0-Encoder-307M-Guard/resolve/main/onnx/model_rocm_512.onnx
165 kB
- Xet hash:
- 8d085536a681b78a64ec85d0027acbe2ccfa4ea7eb8a576ca18b5c4cb0199fee
- Size of remote file:
- 165 kB
- SHA256:
- a7476fa669fc697068a9241b8e08e96850c142762ac812d934bd9146ed46e951
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