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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:459ad1528951bc9d95cc6e896425f50772ac13f8ec20ab48a53c7305b2cc234e
|
| 3 |
+
size 711447664
|