Instructions to use ShengdingHu/adapter_roberta-base_rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/adapter_roberta-base_rte with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShengdingHu/adapter_roberta-base_rte", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 415 Bytes
b08ea11 3afdaaf b08ea11 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"backbone_checkpoint_name": "roberta-base",
"backbone_class": "RobertaForSequenceClassification",
"backbone_hash": "d3a57df84e837e85472ff789dd088a95",
"bottleneck_dim": 32,
"common_structure": true,
"delta_type": "adapter",
"modified_modules": [
"attn",
"ff"
],
"non_linearity": "gelu_new",
"opendelta_version": "0.0.1",
"sequential": true,
"transformers_version": "4.16.0.dev0"
}
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