Instructions to use rovdetection/code-1b-expert-assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rovdetection/code-1b-expert-assistant with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rovdetection/code-1b-expert-assistant", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9884673c4f3ce8851739663fa7796585ff5adc878916d0da86eac445a7fa445
- Size of remote file:
- 1.38 kB
- SHA256:
- c0033c7745b46bdca3ecab5787678834ca68f7f7e1288869dceeb38812abc253
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.