Transformers
PyTorch
Safetensors
Russian
bert
next-sentence-prediction
russian
conversation
chats
embeddings
coherence
Instructions to use astromis/rubert_reply_recovery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use astromis/rubert_reply_recovery with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("astromis/rubert_reply_recovery") model = AutoModelForNextSentencePrediction.from_pretrained("astromis/rubert_reply_recovery", device_map="auto") - Notebooks
- Google Colab
- Kaggle
fixed _name_or_path key
Browse files- config.json +1 -1
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "
|
| 3 |
"architectures": [
|
| 4 |
"BertForNextSentencePrediction"
|
| 5 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "astromis/rubert_reply_recovery",
|
| 3 |
"architectures": [
|
| 4 |
"BertForNextSentencePrediction"
|
| 5 |
],
|