Instructions to use ulugbeksalaev/Uzbek-Text-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ulugbeksalaev/Uzbek-Text-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ulugbeksalaev/Uzbek-Text-Classification")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ulugbeksalaev/Uzbek-Text-Classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,5 +1,9 @@
|
|
| 1 |
---
|
| 2 |
pipeline_tag: text-classification
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
---
|
| 4 |
widget:
|
| 5 |
- text: "Uzbek Text Classification"
|
|
|
|
| 1 |
---
|
| 2 |
pipeline_tag: text-classification
|
| 3 |
+
language:
|
| 4 |
+
- uz
|
| 5 |
+
metrics:
|
| 6 |
+
- accuracy
|
| 7 |
---
|
| 8 |
widget:
|
| 9 |
- text: "Uzbek Text Classification"
|