Instructions to use Den4ikAI/rubert_base_response_ranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Den4ikAI/rubert_base_response_ranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Den4ikAI/rubert_base_response_ranker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Den4ikAI/rubert_base_response_ranker") model = AutoModelForSequenceClassification.from_pretrained("Den4ikAI/rubert_base_response_ranker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,5 +1,9 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
widget:
|
| 4 |
-
|
| 5 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
widget:
|
| 4 |
+
- text: '[CLS] Привет [RESPONSE_TOKEN] Привет'
|
| 5 |
+
datasets:
|
| 6 |
+
- Den4ikAI/russian_dialogues
|
| 7 |
+
language:
|
| 8 |
+
- ru
|
| 9 |
+
---
|