Instructions to use jrodriiguezg/grape-malbec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use jrodriiguezg/grape-malbec with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("jrodriiguezg/grape-malbec", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download decoder_model_quantized.onnx from jrodriiguezg/grape-malbec: direct link, hf CLI and curl.
- Browser
- Download file 58.4 MB
-
https://huggingface.co/jrodriiguezg/grape-malbec/resolve/main/decoder_model_quantized.onnx
- Command line
-
hf download hf://jrodriiguezg/grape-malbec/decoder_model_quantized.onnx
-
curl -L -o decoder_model_quantized.onnx https://huggingface.co/jrodriiguezg/grape-malbec/resolve/main/decoder_model_quantized.onnx
58.4 MB
- Xet hash:
- b56474ddb9d856a0d5570e71d06374d259d590aeb676f2cda06d3faff6f1aaa8
- Size of remote file:
- 58.4 MB
- SHA256:
- ccfff83f5ec98eeb502c554302f8818b397a207bc5a379ab1fd7ff62a086f3af
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