Instructions to use botcon/adapter_bert_trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use botcon/adapter_bert_trained with Transformers:
# Load model directly from transformers import HuggingWrapper model = HuggingWrapper.from_pretrained("botcon/adapter_bert_trained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51cf4f4dea3a488b9bf83d1a9beff0455daaee49284171aad981c7073a0b06fd
- Size of remote file:
- 438 MB
- SHA256:
- 58efe64c787b4e36cad24caf754f2c20a0127b5986415522ee6d33fd1d872cdb
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