Instructions to use itsmeiliass/ida-starcoder-multi-task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itsmeiliass/ida-starcoder-multi-task with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("itsmeiliass/ida-starcoder-multi-task", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from itsmeiliass/ida-starcoder-multi-task: direct link, hf CLI and curl.
- Browser
- Download file 44.5 MB
-
https://huggingface.co/itsmeiliass/ida-starcoder-multi-task/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://itsmeiliass/ida-starcoder-multi-task/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/itsmeiliass/ida-starcoder-multi-task/resolve/main/adapter_model.safetensors
44.5 MB
- Xet hash:
- adc1ed3bcaadb64671e97cd981123a52ebb6651d090dac25671ef4dbfeacc883
- Size of remote file:
- 44.5 MB
- SHA256:
- 7f32f2f91695e5b554da61f20d65b4cbc574b69d88902161957f325c0acf70ab
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.