Instructions to use BSC-LT/RoBERTalex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BSC-LT/RoBERTalex with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BSC-LT/RoBERTalex")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BSC-LT/RoBERTalex") model = AutoModelForMaskedLM.from_pretrained("BSC-LT/RoBERTalex", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
6bdc88d
1
Parent(s): 66cdcaf
Update README.md
Browse files
README.md
CHANGED
|
@@ -14,6 +14,7 @@ widget:
|
|
| 14 |
- text: "La ley fue <mask> finalmente."
|
| 15 |
- text: "El Tribunal <mask> desestimó el recurso de amparo."
|
| 16 |
- text: "Hay base legal dentro del marco <mask> actual."
|
|
|
|
| 17 |
---
|
| 18 |
# Spanish Legal-domain RoBERTa
|
| 19 |
|
|
|
|
| 14 |
- text: "La ley fue <mask> finalmente."
|
| 15 |
- text: "El Tribunal <mask> desestimó el recurso de amparo."
|
| 16 |
- text: "Hay base legal dentro del marco <mask> actual."
|
| 17 |
+
|
| 18 |
---
|
| 19 |
# Spanish Legal-domain RoBERTa
|
| 20 |
|