Update README.md
Browse files
README.md
CHANGED
@@ -16,7 +16,7 @@ The "CCRss/tokenizer_kazakh_t5_kz" is a specialized tokenizer developed for proc
|
|
16 |
|
17 |
### Development and Design
|
18 |
|
19 |
-
This tokenizer is built upon the foundations of the T5 model, renowned for its effectiveness in understanding and generating natural language. The T5 model, originally developed by Google Research, is a transformer-based model primarily designed for text-to-text tasks. By leveraging the T5's pre-existing capabilities, the "CCRss/
|
20 |
|
21 |
The development process involved training the tokenizer on a large corpus of Kazakh text. This training enables the tokenizer to accurately segment Kazakh text into tokens, a crucial step for any language model to understand and generate language effectively.
|
22 |
|
@@ -28,7 +28,7 @@ The development process involved training the tokenizer on a large corpus of Kaz
|
|
28 |
|
29 |
### Usage Scenarios
|
30 |
|
31 |
-
This tokenizer is ideal for researchers and developers working on NLP applications targeting the Kazakh language. Whether it's for developing sophisticated language models, translation systems, or other text-based applications, "CCRss/
|
32 |
|
33 |
Link to Google Colab https://colab.research.google.com/drive/1Pk4lvRQqGJDpqiaS1MnZNYEzHwSf3oNE#scrollTo=tTnLF8Cq9lKM
|
34 |
### Acknowledgments
|
|
|
16 |
|
17 |
### Development and Design
|
18 |
|
19 |
+
This tokenizer is built upon the foundations of the T5 model, renowned for its effectiveness in understanding and generating natural language. The T5 model, originally developed by Google Research, is a transformer-based model primarily designed for text-to-text tasks. By leveraging the T5's pre-existing capabilities, the "CCRss/tokenizer_kazakh_t5_kz" tokenizer is tailored to handle the unique linguistic characteristics of the Kazakh language.
|
20 |
|
21 |
The development process involved training the tokenizer on a large corpus of Kazakh text. This training enables the tokenizer to accurately segment Kazakh text into tokens, a crucial step for any language model to understand and generate language effectively.
|
22 |
|
|
|
28 |
|
29 |
### Usage Scenarios
|
30 |
|
31 |
+
This tokenizer is ideal for researchers and developers working on NLP applications targeting the Kazakh language. Whether it's for developing sophisticated language models, translation systems, or other text-based applications, "CCRss/tokenizer_kazakh_t5_kz" provides the necessary linguistic foundation for handling Kazakh text effectively.
|
32 |
|
33 |
Link to Google Colab https://colab.research.google.com/drive/1Pk4lvRQqGJDpqiaS1MnZNYEzHwSf3oNE#scrollTo=tTnLF8Cq9lKM
|
34 |
### Acknowledgments
|