Instructions to use apus-ailab/APUS-Reflex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apus-ailab/APUS-Reflex with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("apus-ailab/APUS-Reflex", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download evaluation-35b.json from apus-ailab/APUS-Reflex: direct link, hf CLI and curl.
- Browser
- Download file 951 Bytes
-
https://huggingface.co/apus-ailab/APUS-Reflex/resolve/main/evaluation-35b.json
- Command line
-
hf download hf://apus-ailab/APUS-Reflex/evaluation-35b.json
-
curl -L -o evaluation-35b.json https://huggingface.co/apus-ailab/APUS-Reflex/resolve/main/evaluation-35b.json
951 Bytes
| { | |
| "repo_id": "apus-ailab/APUS-OpenJev-v1-35B-A3B", | |
| "revision": "4947385291375f6f5149b3156ff2811c65ebf020", | |
| "report": { | |
| "status": "completed", | |
| "stage": "portable", | |
| "attempt": "portable-fp32", | |
| "records": 80, | |
| "depths": { | |
| "20": { | |
| "correct": 63, | |
| "count": 80 | |
| }, | |
| "40": { | |
| "correct": 71, | |
| "count": 80 | |
| } | |
| }, | |
| "predictions_sha256": "992d2a82c40a30bcd0d32ba2b38b136776fc0f322762d8fe4d79faf4da0ca1de", | |
| "jobs_sha256": "1249ada902e1dbaeb63168db31a56048a3469838dffc92328689943d10b1e0b2", | |
| "model_manifest_sha256": "48f95ce9d068905552ca3355e4b89687df72868c7f9e4651274cc65e1f8d86dd", | |
| "adapter_sha256": "21bada380332b708d2493d7dab6b115be2b61a23bbf1c2e79d56c26ef6e0beea", | |
| "gpu_uuid": "GPU-4a798184-659b-9a79-3c9f-2b47ab0f671b", | |
| "elapsed_seconds": 185.22241306304932, | |
| "scope": "fixed80 regression, not independent generalization or production performance" | |
| } | |
| } | |