Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -1,3 +1,27 @@
|
|
| 1 |
-
|
| 2 |
-
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# BraMT on TUEG Checkpoint
|
| 2 |
+
|
| 3 |
+
This is a checkpoint of BraMT trained on the TUEG dataset using Huawei NPU.
|
| 4 |
+
|
| 5 |
+
## Details
|
| 6 |
+
|
| 7 |
+
- **Model**: BraMT
|
| 8 |
+
- **Training Dataset**: TUEG
|
| 9 |
+
- **Hardware**: Huawei NPU
|
| 10 |
+
|
| 11 |
+
## GitHub Repository
|
| 12 |
+
|
| 13 |
+
The full source code and training scripts are available at:
|
| 14 |
+
https://github.com/springrain-i/BraMT/tree/npu
|
| 15 |
+
|
| 16 |
+
## Usage
|
| 17 |
+
|
| 18 |
+
```python
|
| 19 |
+
import torch
|
| 20 |
+
|
| 21 |
+
# Load the checkpoint
|
| 22 |
+
checkpoint = torch.load("BraMT_on_TUEG.pth")
|
| 23 |
+
|
| 24 |
+
# Use the model
|
| 25 |
+
# model = YourModelClass()
|
| 26 |
+
# model.load_state_dict(checkpoint)
|
| 27 |
+
```
|