Instructions to use l3cube-pune/hindi-marathi-dev-bert-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/hindi-marathi-dev-bert-scratch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="l3cube-pune/hindi-marathi-dev-bert-scratch")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/hindi-marathi-dev-bert-scratch") model = AutoModelForMaskedLM.from_pretrained("l3cube-pune/hindi-marathi-dev-bert-scratch") - Notebooks
- Google Colab
- Kaggle
Commit ·
e65bba2
1
Parent(s): fbe1c0c
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,7 +9,7 @@ language:
|
|
| 9 |
DevBERT is a Devanagari BERT model. It is a base-BERT model trained from scratch on publicly available Hindi and Marathi monolingual datasets.
|
| 10 |
[project link] (https://github.com/l3cube-pune/MarathiNLP)
|
| 11 |
|
| 12 |
-
More details on the dataset, models, and baseline results can be found in our [paper]
|
| 13 |
|
| 14 |
The best version of model is shared <a href='https://huggingface.co/l3cube-pune/hindi-marathi-dev-bert'> here </a>
|
| 15 |
|
|
|
|
| 9 |
DevBERT is a Devanagari BERT model. It is a base-BERT model trained from scratch on publicly available Hindi and Marathi monolingual datasets.
|
| 10 |
[project link] (https://github.com/l3cube-pune/MarathiNLP)
|
| 11 |
|
| 12 |
+
More details on the dataset, models, and baseline results can be found in our [<a href='https://arxiv.org/abs/2211.11418'> paper </a>]
|
| 13 |
|
| 14 |
The best version of model is shared <a href='https://huggingface.co/l3cube-pune/hindi-marathi-dev-bert'> here </a>
|
| 15 |
|