Instructions to use Den4ikAI/ruBert_base_intent_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Den4ikAI/ruBert_base_intent_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Den4ikAI/ruBert_base_intent_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Den4ikAI/ruBert_base_intent_detection") model = AutoModelForSequenceClassification.from_pretrained("Den4ikAI/ruBert_base_intent_detection") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,9 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
---
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
+
widget:
|
| 4 |
+
- text: "Сколько будет 2+2?"
|
| 5 |
+
- text: "Который час?"
|
| 6 |
+
- text: "Вруби свет"
|
| 7 |
+
- text: "Сколько баллов пробки?"
|
| 8 |
---
|
| 9 |
+
Модель на основе ruBert-base для определения намерений
|