Instructions to use abrhaleitela/TigXLNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abrhaleitela/TigXLNet with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abrhaleitela/TigXLNet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"bi_data": false,
|
| 4 |
"model_type": "xlnet",
|
| 5 |
"clamp_len": -1,
|
| 6 |
-
"d_head":
|
| 7 |
"d_inner": 2048,
|
| 8 |
"d_model": 768,
|
| 9 |
"dropout": 0.1,
|
|
|
|
| 3 |
"bi_data": false,
|
| 4 |
"model_type": "xlnet",
|
| 5 |
"clamp_len": -1,
|
| 6 |
+
"d_head": 64,
|
| 7 |
"d_inner": 2048,
|
| 8 |
"d_model": 768,
|
| 9 |
"dropout": 0.1,
|