Instructions to use ShengdingHu/lora_roberta-base_rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/lora_roberta-base_rte with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShengdingHu/lora_roberta-base_rte", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 398 Bytes
bc3b3a0 | 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": "3beb20c1b653522e80992ad1c94ba19e",
"common_structure": true,
"delta_type": "lora",
"lora_alpha": 8,
"lora_dropout": 0.0,
"lora_r": 8,
"modified_modules": [
"attn.q",
"attn.v"
],
"opendelta_version": "0.0.1",
"transformers_version": "4.16.0.dev0"
}
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