Instructions to use karthick1/TestNlpScoring with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use karthick1/TestNlpScoring with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("karthick1/TestNlpScoring", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from karthick1/TestNlpScoring: direct link, hf CLI and curl.
- Browser
- Download file 310 MB
-
https://huggingface.co/karthick1/TestNlpScoring/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://karthick1/TestNlpScoring/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/karthick1/TestNlpScoring/resolve/main/flax_model.msgpack
310 MB
- Xet hash:
- 643af1ee452a9a8fa6428a7c4ff34b25c33b3105d23b822304f5ae4d44c63a44
- Size of remote file:
- 310 MB
- SHA256:
- de82e23a535e25896ebdf433ec2b72706a428fb8e47bb87ef72531426edee8c3
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