PEFT
Safetensors
Transformers
Vietnamese
mbart
text2text-generation
lora
seq2seq
vietnamese
error-correction
spell-checking
Instructions to use yammdd/vietnamese-error-correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yammdd/vietnamese-error-correction with PEFT:
Task type is invalid.
- Transformers
How to use yammdd/vietnamese-error-correction with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yammdd/vietnamese-error-correction") model = AutoModelForSeq2SeqLM.from_pretrained("yammdd/vietnamese-error-correction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -166,9 +166,12 @@ The model's performance varies based on the complexity and length of the input:
|
|
| 166 |
- **Training Duration:** ~4 hours.
|
| 167 |
- **Carbon Emitted:** Estimated based on the total GPU hours and the carbon intensity of the hosting region.
|
| 168 |
|
| 169 |
-
##
|
| 170 |
|
| 171 |
- **PEFT:** 0.18.0
|
| 172 |
- **Transformers:** 4.57.3
|
| 173 |
- **PyTorch:** 2.9.0
|
| 174 |
-
- **Datasets:** 4.0.0
|
|
|
|
|
|
|
|
|
|
|
|
| 166 |
- **Training Duration:** ~4 hours.
|
| 167 |
- **Carbon Emitted:** Estimated based on the total GPU hours and the carbon intensity of the hosting region.
|
| 168 |
|
| 169 |
+
## Framework Versions
|
| 170 |
|
| 171 |
- **PEFT:** 0.18.0
|
| 172 |
- **Transformers:** 4.57.3
|
| 173 |
- **PyTorch:** 2.9.0
|
| 174 |
+
- **Datasets:** 4.0.0
|
| 175 |
+
|
| 176 |
+
## Note
|
| 177 |
+
- This model is intended for educational and research purposes only.
|