Instructions to use Ruvi007/Model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Ruvi007/Model2 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Ruvi007/Model2", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download gitattributes.txt from Ruvi007/Model2: direct link, hf CLI and curl.
- Browser
- Download file 491 Bytes
-
https://huggingface.co/Ruvi007/Model2/resolve/main/gitattributes.txt
- Command line
-
hf download hf://Ruvi007/Model2/gitattributes.txt
-
curl -L -o gitattributes.txt https://huggingface.co/Ruvi007/Model2/resolve/main/gitattributes.txt
491 Bytes
| *.bin.* filter=lfs diff=lfs merge=lfs -text | |
| *.lfs.* filter=lfs diff=lfs merge=lfs -text | |
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.h5 filter=lfs diff=lfs merge=lfs -text | |
| *.tflite filter=lfs diff=lfs merge=lfs -text | |
| *.tar.gz filter=lfs diff=lfs merge=lfs -text | |
| *.ot filter=lfs diff=lfs merge=lfs -text | |
| *.onnx filter=lfs diff=lfs merge=lfs -text | |
| *.msgpack filter=lfs diff=lfs merge=lfs -text | |
| *.msgpack filter=lfs diff=lfs merge=lfs -text | |
| model.safetensors filter=lfs diff=lfs merge=lfs -text | |