Transformers
Safetensors
Arabic
t5
text2text-generation
MSA
Arabic Dialect
Text-to-text
text-generation-inference
Instructions to use Murhaf/AraT5-MSAizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Murhaf/AraT5-MSAizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Murhaf/AraT5-MSAizer") model = AutoModelForSeq2SeqLM.from_pretrained("Murhaf/AraT5-MSAizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
README.md
CHANGED
|
@@ -39,6 +39,10 @@ The following hyperparameters were used during training:
|
|
| 39 |
- lr_scheduler_type: linear
|
| 40 |
- num_epochs: 1
|
| 41 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 42 |
### Framework versions
|
| 43 |
|
| 44 |
- Transformers 4.38.1
|
|
|
|
| 39 |
- lr_scheduler_type: linear
|
| 40 |
- num_epochs: 1
|
| 41 |
|
| 42 |
+
### Training results
|
| 43 |
+
|
| 44 |
+
|
| 45 |
+
|
| 46 |
### Framework versions
|
| 47 |
|
| 48 |
- Transformers 4.38.1
|