Instructions to use coppercitylabs/uzbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coppercitylabs/uzbert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="coppercitylabs/uzbert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("coppercitylabs/uzbert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("coppercitylabs/uzbert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
627d942
1
Parent(s): 81c16d6
Add citation info
Browse files
README.md
CHANGED
|
@@ -15,7 +15,7 @@ datasets:
|
|
| 15 |
Pretrained model on Uzbek language (Cyrillic script) using a masked
|
| 16 |
language modeling and next sentence prediction objectives.
|
| 17 |
|
| 18 |
-
##
|
| 19 |
|
| 20 |
You can use this model directly with a pipeline for masked language modeling:
|
| 21 |
|
|
@@ -61,3 +61,15 @@ You can use this model directly with a pipeline for masked language modeling:
|
|
| 61 |
## Training data
|
| 62 |
|
| 63 |
UzBERT model was pretrained on \~625K news articles (\~142M words).
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 15 |
Pretrained model on Uzbek language (Cyrillic script) using a masked
|
| 16 |
language modeling and next sentence prediction objectives.
|
| 17 |
|
| 18 |
+
## How to use
|
| 19 |
|
| 20 |
You can use this model directly with a pipeline for masked language modeling:
|
| 21 |
|
|
|
|
| 61 |
## Training data
|
| 62 |
|
| 63 |
UzBERT model was pretrained on \~625K news articles (\~142M words).
|
| 64 |
+
|
| 65 |
+
## BibTeX entry and citation info
|
| 66 |
+
```bibtex
|
| 67 |
+
@misc{mansurov2021uzbert,
|
| 68 |
+
title={{UzBERT: pretraining a BERT model for Uzbek}},
|
| 69 |
+
author={B. Mansurov and A. Mansurov},
|
| 70 |
+
year={2021},
|
| 71 |
+
eprint={2108.09814},
|
| 72 |
+
archivePrefix={arXiv},
|
| 73 |
+
primaryClass={cs.CL}
|
| 74 |
+
}
|
| 75 |
+
```
|