Instructions to use buelfhood/irc-tensorflow-tensorflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use buelfhood/irc-tensorflow-tensorflow with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("buelfhood/irc-tensorflow-tensorflow", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from buelfhood/irc-tensorflow-tensorflow: direct link, hf CLI and curl.
- Browser
- Download file 3.6 MB
-
https://huggingface.co/buelfhood/irc-tensorflow-tensorflow/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://buelfhood/irc-tensorflow-tensorflow/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/buelfhood/irc-tensorflow-tensorflow/resolve/main/pytorch_adapter.bin
3.6 MB
- Xet hash:
- d84e90a022a4981c49bd6868e0dc7a18424a14ac5fdd22983f29bdaaedb1318b
- Size of remote file:
- 3.6 MB
- SHA256:
- 64c1f66ab6d3ce20804df9a6ceed864151990dc12e571914a7e2e6dd9604da27
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