Instructions to use apus-ailab/APUS-OpenJev-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apus-ailab/APUS-OpenJev-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("apus-ailab/APUS-OpenJev-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 4B-5949/runtime-validation.json from apus-ailab/APUS-OpenJev-v1: direct link, hf CLI and curl.
- Browser
- Download file 334 Bytes
-
https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/main/4B-5949/runtime-validation.json
- Command line
-
hf download hf://apus-ailab/APUS-OpenJev-v1/4B-5949/runtime-validation.json
-
curl -L -o runtime-validation.json https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/main/4B-5949/runtime-validation.json
334 Bytes
| { | |
| "status": "passed", | |
| "decisions": 160, | |
| "max_probability_delta": 0.0, | |
| "no_jev_import": true, | |
| "long_input_rejected": true, | |
| "invalid_effort_rejected": true, | |
| "text_scope": "Execution smoke only; not TYPE accuracy or speed validation", | |
| "source_sha256": "60a80902675971ff6a054377852b936eec90f49f466eb7b8b077eee7b979f230" | |
| } | |