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/openjet_runtime/__init__.py from apus-ailab/APUS-OpenJev-v1: direct link, hf CLI and curl.
- Browser
- Download file 52 Bytes
-
https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/dbb25630720f247b0054ec9f261593d8aa4e0e98/4B-5949/openjet_runtime/__init__.py
- Command line
-
hf download hf://apus-ailab/APUS-OpenJev-v1@dbb25630720f247b0054ec9f261593d8aa4e0e98/4B-5949/openjet_runtime/__init__.py
-
curl -L -o __init__.py https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/dbb25630720f247b0054ec9f261593d8aa4e0e98/4B-5949/openjet_runtime/__init__.py
52 Bytes
| from .runtime import OpenJet | |
| __all__ = ["OpenJet"] | |