Update README.md
Browse files
README.md
CHANGED
|
@@ -10,7 +10,7 @@ pipeline_tag: summarization
|
|
| 10 |
license: cc-by-nc-4.0
|
| 11 |
---
|
| 12 |
|
| 13 |
-
#
|
| 14 |
|
| 15 |
This repository contains the 03ap-sm model, a Ukrainian news summarization model fine-tuned on the T5-small architecture. The model has been trained on the Ukrainian Corpus CCMatrix for text summarization tasks.
|
| 16 |
|
|
@@ -38,8 +38,8 @@ pip install transformers
|
|
| 38 |
```python
|
| 39 |
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
|
| 40 |
|
| 41 |
-
tokenizer = AutoTokenizer.from_pretrained("d0p3/
|
| 42 |
-
model = AutoModelForSeq2SeqLM.from_pretrained("d0p3/
|
| 43 |
```
|
| 44 |
|
| 45 |
**Generating Summaries**
|
|
|
|
| 10 |
license: cc-by-nc-4.0
|
| 11 |
---
|
| 12 |
|
| 13 |
+
# O3ap-sm: Ukrainian News Summarizer
|
| 14 |
|
| 15 |
This repository contains the 03ap-sm model, a Ukrainian news summarization model fine-tuned on the T5-small architecture. The model has been trained on the Ukrainian Corpus CCMatrix for text summarization tasks.
|
| 16 |
|
|
|
|
| 38 |
```python
|
| 39 |
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
|
| 40 |
|
| 41 |
+
tokenizer = AutoTokenizer.from_pretrained("d0p3/O3ap-sm")
|
| 42 |
+
model = AutoModelForSeq2SeqLM.from_pretrained("d0p3/O3ap-sm")
|
| 43 |
```
|
| 44 |
|
| 45 |
**Generating Summaries**
|