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_model_head.bin from buelfhood/irc-tensorflow-tensorflow: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/buelfhood/irc-tensorflow-tensorflow/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://buelfhood/irc-tensorflow-tensorflow/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/buelfhood/irc-tensorflow-tensorflow/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 7e2ce825a74fec4e514071d491b1bc7f001dcfe01882d0e27467f399666da744
- Size of remote file:
- 2.37 MB
- SHA256:
- e9c8c8020dbe6fafe33299449fe41d3e458a0507463001886b7f47df4424ba65
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