Translation
Transformers
Safetensors
Arabic
t5
text2text-generation
Syrian
Shami
MT
MSA
Dialect
ArabicNLP
text-generation-inference
Instructions to use Omartificial-Intelligence-Space/Shami-MT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Omartificial-Intelligence-Space/Shami-MT with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Omartificial-Intelligence-Space/Shami-MT")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Omartificial-Intelligence-Space/Shami-MT") model = AutoModelForSeq2SeqLM.from_pretrained("Omartificial-Intelligence-Space/Shami-MT") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -15,4 +15,7 @@ tags:
|
|
| 15 |
- Dialect
|
| 16 |
- ArabicNLP
|
| 17 |
---
|
|
|
|
| 18 |
|
|
|
|
|
|
|
|
|
| 15 |
- Dialect
|
| 16 |
- ArabicNLP
|
| 17 |
---
|
| 18 |
+
# SHAMI-MT : A Machine Translation Model From MSA to Syrian Dialect
|
| 19 |
|
| 20 |
+
|
| 21 |
+

|