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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
3afdaaf
1
Parent(s): 73ced92
add model
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
config.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"backbone_checkpoint_name": "roberta-base",
|
| 3 |
"backbone_class": "RobertaForSequenceClassification",
|
| 4 |
-
"backbone_hash": "
|
| 5 |
"bottleneck_dim": 32,
|
| 6 |
"common_structure": true,
|
| 7 |
"delta_type": "adapter",
|
|
|
|
| 1 |
{
|
| 2 |
"backbone_checkpoint_name": "roberta-base",
|
| 3 |
"backbone_class": "RobertaForSequenceClassification",
|
| 4 |
+
"backbone_hash": "d3a57df84e837e85472ff789dd088a95",
|
| 5 |
"bottleneck_dim": 32,
|
| 6 |
"common_structure": true,
|
| 7 |
"delta_type": "adapter",
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:56ce94d00c7fbfff0f1c8d9f61018176598366835336cec0699657e07ada6ba4
|
| 3 |
+
size 7221369
|