Instructions to use domadapter/domain_only_MR_camera_photo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use domadapter/domain_only_MR_camera_photo with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("domadapter/domain_only_MR_camera_photo", set_active=True) - Notebooks
- Google Colab
- Kaggle
Adapter domadapter/domain_only_MR_camera_photo for bert-base-uncased
An adapter for the bert-base-uncased model that was trained on the sentiment/amazon dataset.
This adapter was created for usage with the adapter-transformers library.
Usage
First, install adapter-transformers:
pip install -U adapter-transformers
Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support. More
Now, the adapter can be loaded and activated like this:
from transformers import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("bert-base-uncased")
adapter_name = model.load_adapter("domadapter/domain_only_MR_camera_photo", source="hf", set_active=True)
Architecture & Training
Evaluation results
Citation
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