Instructions to use l3cube-pune/hing-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/hing-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="l3cube-pune/hing-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/hing-roberta") model = AutoModelForMaskedLM.from_pretrained("l3cube-pune/hing-roberta") - Notebooks
- Google Colab
- Kaggle
Commit ·
2413811
1
Parent(s): 5b10d54
Update README.md
Browse files
README.md
CHANGED
|
@@ -27,7 +27,6 @@ More details on the dataset, models, and baseline results can be found in our [p
|
|
| 27 |
year = {2022},
|
| 28 |
address = {Marseille, France},
|
| 29 |
publisher = {European Language Resources Association},
|
| 30 |
-
pages = {7--12}
|
| 31 |
-
url = {https://aclanthology.org/2022.wildre6-1.2}
|
| 32 |
}
|
| 33 |
```
|
|
|
|
| 27 |
year = {2022},
|
| 28 |
address = {Marseille, France},
|
| 29 |
publisher = {European Language Resources Association},
|
| 30 |
+
pages = {7--12}
|
|
|
|
| 31 |
}
|
| 32 |
```
|