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.onnx from jrodriiguezg/grape-malbec: direct link, hf CLI and curl.
- Browser
- Download file 134 Bytes
-
https://huggingface.co/jrodriiguezg/grape-malbec/resolve/main/decoder_model.onnx
- Command line
-
hf download hf://jrodriiguezg/grape-malbec/decoder_model.onnx
-
curl -L -o decoder_model.onnx https://huggingface.co/jrodriiguezg/grape-malbec/resolve/main/decoder_model.onnx
134 Bytes
- Xet hash:
- e0743947b8cf66220cc3e475c7a3377b36420c4dcee7d9a73de43364ed11e029
- Size of remote file:
- 134 Bytes
- SHA256:
- 7bd837b3c4a2b63cf45353372e1afbf72ca639e9a495f8bb883b4aa012e3b749
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