Instructions to use proxectonos/deberta-xsmall-gl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use proxectonos/deberta-xsmall-gl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="proxectonos/deberta-xsmall-gl")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("proxectonos/deberta-xsmall-gl") model = AutoModelForMaskedLM.from_pretrained("proxectonos/deberta-xsmall-gl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add funding
Browse files
README.md
CHANGED
|
@@ -43,6 +43,9 @@ fill_mask = pipeline("fill-mask", model=model, tokenizer=tokenizer)
|
|
| 43 |
fill_mask("O Parlamento de Galicia aprobou a <mask> hoxe.")
|
| 44 |
```
|
| 45 |
|
|
|
|
|
|
|
|
|
|
| 46 |
## Citation
|
| 47 |
|
| 48 |
Please reference this model as: **mdeberta-gl (Proxecto Nós Team, 2025)**.
|
|
|
|
| 43 |
fill_mask("O Parlamento de Galicia aprobou a <mask> hoxe.")
|
| 44 |
```
|
| 45 |
|
| 46 |
+
## Funding
|
| 47 |
+
This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project Desarrollo de Modelos ALIA
|
| 48 |
+
|
| 49 |
## Citation
|
| 50 |
|
| 51 |
Please reference this model as: **mdeberta-gl (Proxecto Nós Team, 2025)**.
|