Instructions to use Cainiao-AI/G2PTL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cainiao-AI/G2PTL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Cainiao-AI/G2PTL", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Cainiao-AI/G2PTL", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -155,6 +155,17 @@ print('Cosin Similarity: ', cos_sim[0].detach().numpy())
|
|
| 155 |
```json
|
| 156 |
Cosin Similarity: 0.8974346
|
| 157 |
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 158 |
## Requirements
|
| 159 |
python>=3.8
|
| 160 |
```shell
|
|
|
|
| 155 |
```json
|
| 156 |
Cosin Similarity: 0.8974346
|
| 157 |
```
|
| 158 |
+
|
| 159 |
+
## Training loss
|
| 160 |
+

|
| 161 |
+
|
| 162 |
+

|
| 163 |
+
|
| 164 |
+

|
| 165 |
+
|
| 166 |
+

|
| 167 |
+
|
| 168 |
+
|
| 169 |
## Requirements
|
| 170 |
python>=3.8
|
| 171 |
```shell
|