Instructions to use morenolq/flanec-large-cd-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use morenolq/flanec-large-cd-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "morenolq/flanec-large-cd-lora") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -70,10 +70,12 @@ Please use the following citation to reference this work in your research:
|
|
| 70 |
**citation will be updated soon after SLT 2024 proceedings are published**
|
| 71 |
|
| 72 |
```bibtex
|
| 73 |
-
@
|
| 74 |
-
|
| 75 |
-
|
| 76 |
-
|
| 77 |
-
year={2024}
|
|
|
|
|
|
|
| 78 |
}
|
| 79 |
```
|
|
|
|
| 70 |
**citation will be updated soon after SLT 2024 proceedings are published**
|
| 71 |
|
| 72 |
```bibtex
|
| 73 |
+
@INPROCEEDINGS{LaQuatra24FlanEC,
|
| 74 |
+
author={Quatra, Moreno La and Salerno, Valerio Mario and Tsao, Yu and Siniscalchi, Sabato Marco},
|
| 75 |
+
booktitle={2024 IEEE Spoken Language Technology Workshop (SLT)},
|
| 76 |
+
title={FlanEC: Exploring Flan-T5 for Post-ASR Error Correction},
|
| 77 |
+
year={2024},
|
| 78 |
+
pages={608-615},
|
| 79 |
+
doi={10.1109/SLT61566.2024.10832257}
|
| 80 |
}
|
| 81 |
```
|