Instructions to use BigTMiami/micro_seq_bn_helpfulness_classification_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use BigTMiami/micro_seq_bn_helpfulness_classification_adapter with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("BigTMiami/micro_seq_bn_helpfulness_classification_adapter", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from BigTMiami/micro_seq_bn_helpfulness_classification_adapter: direct link, hf CLI and curl.
- Browser
- Download file 3.6 MB
-
https://huggingface.co/BigTMiami/micro_seq_bn_helpfulness_classification_adapter/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://BigTMiami/micro_seq_bn_helpfulness_classification_adapter/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/BigTMiami/micro_seq_bn_helpfulness_classification_adapter/resolve/main/pytorch_adapter.bin
3.6 MB
- Xet hash:
- 328cdf46be9b40f4a45b89fc5937c83633c8aa1b8a452c64ba431df61fc5e087
- Size of remote file:
- 3.6 MB
- SHA256:
- 5913d9f4a88a1228f759b796a75e7e4647d021d5741fbf564baa1ebe9e60e2b1
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