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 encoder_model_quantized.onnx from jrodriiguezg/grape-malbec: direct link, hf CLI and curl.
- Browser
- Download file 35.5 MB
-
https://huggingface.co/jrodriiguezg/grape-malbec/resolve/main/encoder_model_quantized.onnx
- Command line
-
hf download hf://jrodriiguezg/grape-malbec/encoder_model_quantized.onnx
-
curl -L -o encoder_model_quantized.onnx https://huggingface.co/jrodriiguezg/grape-malbec/resolve/main/encoder_model_quantized.onnx
35.5 MB
- Xet hash:
- d9ba568f5ec962e984742a2caba2be330fe2856185145da2e0fe061fa7a25692
- Size of remote file:
- 35.5 MB
- SHA256:
- 9d61d3bcd11d3b652a2f3b95486111276f9cc57d77bf673c11aa536333eeb5a3
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