Instructions to use AdapterHub/bert-base-multilingual-uncased-hinglish-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/bert-base-multilingual-uncased-hinglish-sentiment with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-multilingual-uncased") model.load_adapter("AdapterHub/bert-base-multilingual-uncased-hinglish-sentiment", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from AdapterHub/bert-base-multilingual-uncased-hinglish-sentiment: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/AdapterHub/bert-base-multilingual-uncased-hinglish-sentiment/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://AdapterHub/bert-base-multilingual-uncased-hinglish-sentiment/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/AdapterHub/bert-base-multilingual-uncased-hinglish-sentiment/resolve/main/pytorch_adapter.bin
3.59 MB
- Xet hash:
- 957f935b3627534082b18491f521f1afa4d9587f998145f26b2bb71d1d049bcb
- Size of remote file:
- 3.59 MB
- SHA256:
- 684c5fea3310692dc8ef8a665c0b1adbd943ee110bc8ff1bf2667b870e19f6ad
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