forked from phoenix-oss/llama-stack-mirror
0a3999a9a4
We should use Inference APIs to execute Llama Guard instead of directly needing to use HuggingFace modeling related code. The actual inference consideration is handled by Inference. |
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| .. | ||
| agents | ||
| batch_inference | ||
| common | ||
| dataset | ||
| evals | ||
| inference | ||
| memory | ||
| memory_banks | ||
| models | ||
| post_training | ||
| reward_scoring | ||
| safety | ||
| shields | ||
| synthetic_data_generation | ||
| telemetry | ||
| __init__.py | ||