Transformers
PyTorch
TensorBoard
Safetensors
Russian
t5
text2text-generation
text-generation-inference
Instructions to use maximxls/text-normalization-ru-terrible with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maximxls/text-normalization-ru-terrible with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("maximxls/text-normalization-ru-terrible") model = AutoModelForSeq2SeqLM.from_pretrained("maximxls/text-normalization-ru-terrible") - Notebooks
- Google Colab
- Kaggle
Update README.md (#2)
Browse files- Update README.md (9f736799b386b27bdd94f79d8e7fc3210d4c67c4)
Co-authored-by: Dark <Darkin72@users.noreply.huggingface.co>
README.md
CHANGED
|
@@ -3,6 +3,8 @@ license: mit
|
|
| 3 |
language:
|
| 4 |
- ru
|
| 5 |
library_name: transformers
|
|
|
|
|
|
|
| 6 |
tags:
|
| 7 |
- text-generation-inference
|
| 8 |
---
|
|
@@ -90,5 +92,4 @@ See [`README` on github](https://github.com/maximxlss/text_normalization) for a
|
|
| 90 |
|
| 91 |
#### Hardware
|
| 92 |
|
| 93 |
-
Couple tens of hours of RTX 3090 Ti compute on my personal PC (21.65 epochs)
|
| 94 |
-
|
|
|
|
| 3 |
language:
|
| 4 |
- ru
|
| 5 |
library_name: transformers
|
| 6 |
+
datasets:
|
| 7 |
+
- text-normalization-challenge-russian-language
|
| 8 |
tags:
|
| 9 |
- text-generation-inference
|
| 10 |
---
|
|
|
|
| 92 |
|
| 93 |
#### Hardware
|
| 94 |
|
| 95 |
+
Couple tens of hours of RTX 3090 Ti compute on my personal PC (21.65 epochs)
|
|
|