Downloads · 30 days
17
1% of all-time downloads
T5-L128-belarusian
WelfCrozzo/T5-L128-belarusian
T5-L128-belarusian is a translation model from WelfCrozzo. Use it when you need text moved from one language to another. It is set up for transformers. The card lists the license as openrail.
All-time downloads
3K
Public
Parameters
20.7M
166 MB on disk
Likes
2
Public
Repo makeup
Click a slice to open those files.
.bin82.7 MB · 48%
At a glance
- Task
- Translation
- Library
- transformers
- License
- openrail
- Model type
- t5
- Access
- Public
- Created
- Jun 24, 2023
- Updated
- Jun 24, 2023
- SHA
- 6bada3c6
Try a prompt
Datasets
Model card
From the Hugging Face model README
T5 for belarusian language
This model is based on T5-small with sequence length equal 128 tokens. Model trained from scratch on RTX 3090 24GB.
Supported tasks:
- translation BE to RU:
<extra_id_1> - translation BE to EN:
<extra_id_2> - translation RU to BE:
<extra_id_3> - translation RU to EN:
<extra_id_5> - translation EN to BE:
<extra_id_6> - translation EN to RU:
<extra_id_7>
Metrics:
How to Get Started with the Model
<details> <summary> Click to expand </summary>from transformers import T5TokenizerFast, T5ForConditionalGeneration
tokenizer = T5TokenizerFast.from_pretrained("WelfCrozzo/T5-L128-belarusian")
model = T5ForConditionalGeneration.from_pretrained("WelfCrozzo/T5-L128-belarusian")
x = tokenizer.encode('<extra_id_1>да зорак праз цяжкасці', return_tensors='pt')
result = model.generate(x, return_dict_in_generate=True, output_scores=True,max_length=128)
print(tokenizer.decode(result["sequences"][0]))
References
- Task
- Translation
- Library
- transformers
- Type
- t5
- License
- openrail
- Languages
- be, en, ru
- Created
- Jun 24, 2023
- Updated
- Jun 24, 2023