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:
# 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/source-provenance.json from apus-ailab/APUS-OpenJev-v1: direct link, hf CLI and curl.
- Browser
- Download file 773 Bytes
-
https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/dbb25630720f247b0054ec9f261593d8aa4e0e98/4B-5949/source-provenance.json
- Command line
-
hf download hf://apus-ailab/APUS-OpenJev-v1@dbb25630720f247b0054ec9f261593d8aa4e0e98/4B-5949/source-provenance.json
-
curl -L -o source-provenance.json https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/dbb25630720f247b0054ec9f261593d8aa4e0e98/4B-5949/source-provenance.json
773 Bytes
| { | |
| "contracts.py": { | |
| "source": "jev/dynamic/contracts.py", | |
| "source_sha256": "d8e8e5270ecd6dab917d886dda2d684c24696b811faa968bb3c399ceef5e356a", | |
| "export_sha256": "d8e8e5270ecd6dab917d886dda2d684c24696b811faa968bb3c399ceef5e356a" | |
| }, | |
| "candidate_projection.py": { | |
| "source": "jev/dynamic/engine/candidate_projection.py", | |
| "source_sha256": "84dc4746b5fb06ac6a9024dde3ba8414d901acf2a62d010b0d66f26acfaf74a6", | |
| "export_sha256": "84dc4746b5fb06ac6a9024dde3ba8414d901acf2a62d010b0d66f26acfaf74a6" | |
| }, | |
| "early_exit.py": { | |
| "source": "jev/dynamic/native/early_exit.py", | |
| "source_sha256": "e6ce9e983df0fdaaa9fb9bdf4a6e1f37e0610708007648b2f6b0b9d36e35d2e3", | |
| "export_sha256": "89b7751a927a6d1348a454fb8ee986395423ad5686d855fb3ccab255c95d2566" | |
| } | |
| } | |