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 TECHNICAL_REPORT.pdf from apus-ailab/APUS-OpenJev-v1: direct link, hf CLI and curl.
- Browser
- Download file 1 MB
-
https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/dbb25630720f247b0054ec9f261593d8aa4e0e98/TECHNICAL_REPORT.pdf
- Command line
-
hf download hf://apus-ailab/APUS-OpenJev-v1@dbb25630720f247b0054ec9f261593d8aa4e0e98/TECHNICAL_REPORT.pdf
-
curl -L -o TECHNICAL_REPORT.pdf https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/dbb25630720f247b0054ec9f261593d8aa4e0e98/TECHNICAL_REPORT.pdf
1 MB
- Xet hash:
- a3b5b614388d876b5cf0777cc7e4fe06e2f713d9442bde9b43594858647d5c51
- Size of remote file:
- 1 MB
- SHA256:
- eda753388da66c864fd8334cc7e5604d07ce62f325a496a04937daa3cc461533
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