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 709 kB
-
https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/68e5880df6be3bd820345b9233032e8e325bf4c1/TECHNICAL_REPORT.pdf
- Command line
-
hf download hf://apus-ailab/APUS-OpenJev-v1@68e5880df6be3bd820345b9233032e8e325bf4c1/TECHNICAL_REPORT.pdf
-
curl -L -o TECHNICAL_REPORT.pdf https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/68e5880df6be3bd820345b9233032e8e325bf4c1/TECHNICAL_REPORT.pdf
709 kB
- Xet hash:
- df748f4e3a377424d15f041f1dbc19037ed2fc4a398115dc2fbb895cb9a7662d
- Size of remote file:
- 709 kB
- SHA256:
- 6bba2af70bebb6e2dff1c66ed6171332be7f9842adaa4489490bd2065b8a989f
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