Instructions to use l3cube-pune/me-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/me-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="l3cube-pune/me-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/me-roberta") model = AutoModelForMaskedLM.from_pretrained("l3cube-pune/me-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
bc3a8af
1
Parent(s): b58ea84
Update README.md
Browse files
README.md
CHANGED
|
@@ -12,8 +12,8 @@ datasets:
|
|
| 12 |
- L3Cube-MeCorpus
|
| 13 |
---
|
| 14 |
|
| 15 |
-
##
|
| 16 |
-
|
| 17 |
<br>
|
| 18 |
[dataset link] (https://github.com/l3cube-pune/MarathiNLP)
|
| 19 |
|
|
|
|
| 12 |
- L3Cube-MeCorpus
|
| 13 |
---
|
| 14 |
|
| 15 |
+
## MeRoBERTa
|
| 16 |
+
MeRoBERTa is a Marathi-English code-mixed BERT model trained on Roman text. It is a RoBERTa model fine-tuned on L3Cube-MeCorpus.
|
| 17 |
<br>
|
| 18 |
[dataset link] (https://github.com/l3cube-pune/MarathiNLP)
|
| 19 |
|